Instructions to use airesearch/wangchanberta-base-wiki-20210520-spm-finetune-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use airesearch/wangchanberta-base-wiki-20210520-spm-finetune-qa with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="airesearch/wangchanberta-base-wiki-20210520-spm-finetune-qa")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("airesearch/wangchanberta-base-wiki-20210520-spm-finetune-qa") model = AutoModelForQuestionAnswering.from_pretrained("airesearch/wangchanberta-base-wiki-20210520-spm-finetune-qa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
first commit
Browse files- README.md +14 -0
- config.json +27 -0
- pytorch_model.bin +3 -0
- sentencepiece.bpe.model +3 -0
- special_tokens_map.json +1 -0
- tokenizer_config.json +1 -0
- training_args.bin +3 -0
README.md
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Run with:
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```
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export WANDB_PROJECT=wangchanberta-qa
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export MODEL_NAME=airesearchth/wangchanberta-base-wiki-20210520-spm
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CUDA_LAUNCH_BLOCKING=1 python train_question_answering_lm_finetuning.py \
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--model_name $MODEL_NAME \
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--revision main@ckp-25000 \
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--dataset_name iapp_thaiqa \
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--output_dir $MODEL_NAME-finetune-iapp_thaiqa-model \
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--log_dir $MODEL_NAME-finetune-iapp_thaiqa-log \
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--model_max_length 400 \
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--pad_on_right \
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--fp16
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```
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config.json
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{
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"_name_or_path": "airesearchth/wangchanberta-base-wiki-20210520-spm-finetune-iapp_thaiqa-model/checkpoint-3058",
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"architectures": [
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"CamembertForQuestionAnswering"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"eos_token_id": 2,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "camembert",
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"num_attention_head": 12,
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"transformers_version": "4.4.0",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 24005
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:244e2f7ff245f1a72e8c667616424eb49b1b51d19a80097a9fb370f3a806ac67
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size 415639223
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sentencepiece.bpe.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:2059a7452cb4f0254070b2d4f810daf1027dda9329c3f8bbadfa2bcc55a8282e
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size 872531
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special_tokens_map.json
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{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true}, "additional_special_tokens": ["<s>NOTUSED", "</s>NOTUSED", "▁"]}
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tokenizer_config.json
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{"bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "additional_special_tokens": ["<s>NOTUSED", "</s>NOTUSED", "▁"], "model_max_length": 400, "special_tokens_map_file": null, "name_or_path": "airesearchth/wangchanberta-base-wiki-20210520-spm"}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:1f9a63be556d58823da5a62221f362c8c833d80d5cd22e68cd48ac9fbd32933b
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size 2415
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