Instructions to use RajuEEE/Generative_Question_Answering_GPT2dd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use RajuEEE/Generative_Question_Answering_GPT2dd 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_GPT2dd") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from RajuEEE/Generative_Question_Answering_GPT2dd: direct link, hf CLI and curl.
- Browser
- Download file 2.37 MB
-
https://huggingface.co/RajuEEE/Generative_Question_Answering_GPT2dd/resolve/main/adapter_model.bin
- Command line
-
hf download hf://RajuEEE/Generative_Question_Answering_GPT2dd/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/RajuEEE/Generative_Question_Answering_GPT2dd/resolve/main/adapter_model.bin
2.37 MB
- Xet hash:
- 4a4965997c39476d18c59075bfde0faeea4e2c8cf31341e431d573fdb91cc7f4
- Size of remote file:
- 2.37 MB
- SHA256:
- b10c396741a05fa578836aebbf83f7b063b9d88a3f9be5283ca2130785adc1cf
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