Instructions to use RaviKanur/sft-tiny-chatbot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use RaviKanur/sft-tiny-chatbot with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v1.0") model = PeftModel.from_pretrained(base_model, "RaviKanur/sft-tiny-chatbot") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from RaviKanur/sft-tiny-chatbot: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/RaviKanur/sft-tiny-chatbot/resolve/main/training_args.bin
- Command line
-
hf download hf://RaviKanur/sft-tiny-chatbot/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/RaviKanur/sft-tiny-chatbot/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- 9d81d2647ceb54c6435d56a9d8ae6c04d0bff31182fd358d4d4c3b11edc893ae
- Size of remote file:
- 4.98 kB
- SHA256:
- 2fea1031f61f9d00e0c8ed2e9bc9f6a13af1400f41032a384c1f9ce90e60f33a
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