mirror of
https://github.com/QwenLM/Qwen.git
synced 2026-05-21 17:05:46 +08:00
update cache GC in demo and add vocab expansion example
This commit is contained in:
@@ -9,8 +9,6 @@
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
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" from .autonotebook import tqdm as notebook_tqdm\n",
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"None of PyTorch, TensorFlow >= 2.0, or Flax have been found. Models won't be available and only tokenizers, configuration and file/data utilities can be used.\n"
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]
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}
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@@ -414,6 +412,142 @@
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"source": [
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"tokenizer._convert_token_to_id('<|extra_204|>')"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Vocabulary Expansion"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 19,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"{'input_ids': [35946, 99639, 91680, 100472], 'token_type_ids': [0, 0, 0, 0], 'attention_mask': [1, 1, 1, 1]}"
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]
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},
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"execution_count": 19,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"tokenizer(\"我是一只猫\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 20,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[99639, 91680, 100472]"
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]
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},
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"execution_count": 20,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"tokenizer.encode(\"是一只猫\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 21,
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"metadata": {},
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"outputs": [],
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"source": [
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"tokenizer = AutoTokenizer.from_pretrained('Qwen/Qwen-7B', trust_remote_code=True, extra_vocab_file=\"qwen_extra.tiktoken\")\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 22,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"151857"
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]
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},
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"execution_count": 22,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"len(tokenizer)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 23,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"{'input_ids': [151854], 'token_type_ids': [0], 'attention_mask': [1]}"
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]
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},
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"execution_count": 23,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"tokenizer(\"我是一只猫\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 24,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'我是一只猫'"
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]
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},
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"execution_count": 24,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"tokenizer.decode(tokenizer.encode(\"我是一只猫\"))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 25,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[151853]"
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]
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},
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"execution_count": 25,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"tokenizer.encode(\"是一只猫\")"
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]
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}
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],
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"metadata": {
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@@ -432,7 +566,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.9"
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"version": "3.10.12"
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},
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"orig_nbformat": 4
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},
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