Instructions to use hattran/gpt2-vn-PROMPT_TUNING_CAUSAL_LM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hattran/gpt2-vn-PROMPT_TUNING_CAUSAL_LM with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NlpHUST/gpt2-vietnamese") model = PeftModel.from_pretrained(base_model, "hattran/gpt2-vn-PROMPT_TUNING_CAUSAL_LM") - Notebooks
- Google Colab
- Kaggle
Upload model
Browse files- README.md +9 -0
- adapter_config.json +16 -0
- adapter_model.bin +3 -0
README.md
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---
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library_name: peft
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---
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## Training procedure
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### Framework versions
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- PEFT 0.5.0
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adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "NlpHUST/gpt2-vietnamese",
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"inference_mode": true,
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"num_attention_heads": 12,
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"num_layers": 12,
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"num_transformer_submodules": 1,
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"num_virtual_tokens": 30,
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"peft_type": "PROMPT_TUNING",
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"prompt_tuning_init": "TEXT",
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"prompt_tuning_init_text": "B\u1ea1n l\u00e0 chuy\u00ean gia v\u1ec1 Lu\u1eadt, tr\u1ea3 l\u1eddi t\u1ea5t c\u1ea3 c\u00e2u h\u1ecfi d\u1ef1a tr\u00ean n\u1ed9i dung t\u1eeb \"START CONTEXT\" t\u1edbi \"END CONTEXT\".",
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"revision": null,
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"task_type": "CAUSAL_LM",
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"token_dim": 768,
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"tokenizer_name_or_path": "NlpHUST/gpt2-vietnamese"
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}
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adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:58fddc19346c562d4362140eab37fda670912aa4130d094a08378c243f7e7cd8
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size 92925
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