Instructions to use BEGADE/chatbot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use BEGADE/chatbot with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("gpt2") model = PeftModel.from_pretrained(base_model, "BEGADE/chatbot") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from BEGADE/chatbot: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/BEGADE/chatbot/resolve/24c4c94eca309313ba45b61ba090d5bdcbcedd6d/training_args.bin
- Command line
-
hf download hf://BEGADE/chatbot@24c4c94eca309313ba45b61ba090d5bdcbcedd6d/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/BEGADE/chatbot/resolve/24c4c94eca309313ba45b61ba090d5bdcbcedd6d/training_args.bin
5.43 kB
- Xet hash:
- 30e08ddfbfa14161edae17a9b40d0a373637724faac2e6d60941363f60c8ff72
- Size of remote file:
- 5.43 kB
- SHA256:
- cdcaa2f76eac885130ace0bf19e3effe04780fe3eaa50b35a913e85317922f43
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