Instructions to use amaithi/tiny-chatbot-dpo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use amaithi/tiny-chatbot-dpo 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, "amaithi/tiny-chatbot-dpo") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from amaithi/tiny-chatbot-dpo: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/amaithi/tiny-chatbot-dpo/resolve/main/training_args.bin
- Command line
-
hf download hf://amaithi/tiny-chatbot-dpo/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/amaithi/tiny-chatbot-dpo/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 1da6e6d849e416759a4039caafc1fb84906c463f2ead399eb40025b64603eb56
- Size of remote file:
- 5.11 kB
- SHA256:
- 91514ba13929d06b43b815e7c9fc9d0a395907510ee3217ed950b85341b6c51d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.