Instructions to use RajuEEE/Generative_Question_Answering_Gpt2_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use RajuEEE/Generative_Question_Answering_Gpt2_large with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("gpt2-large") model = PeftModel.from_pretrained(base_model, "RajuEEE/Generative_Question_Answering_Gpt2_large") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from RajuEEE/Generative_Question_Answering_Gpt2_large: direct link, hf CLI and curl.
- Browser
- Download file 11.8 MB
-
https://huggingface.co/RajuEEE/Generative_Question_Answering_Gpt2_large/resolve/main/adapter_model.bin
- Command line
-
hf download hf://RajuEEE/Generative_Question_Answering_Gpt2_large/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/RajuEEE/Generative_Question_Answering_Gpt2_large/resolve/main/adapter_model.bin
11.8 MB
- Xet hash:
- 81a21cb46f5d0768c87789d38f7c0f8b5b529f0898f34ad1d5557c8f0b7d060f
- Size of remote file:
- 11.8 MB
- SHA256:
- 6c59b5897a9cf2bf0c386b0f5a9f5b3853eadee73767d07fe4bf11b43d6d7745
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