Instructions to use DeepaPeri/doctor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepaPeri/doctor with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "DeepaPeri/doctor") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from DeepaPeri/doctor: direct link, hf CLI and curl.
- Browser
- Download file 3.96 kB
-
https://huggingface.co/DeepaPeri/doctor/resolve/main/training_args.bin
- Command line
-
hf download hf://DeepaPeri/doctor/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/DeepaPeri/doctor/resolve/main/training_args.bin
3.96 kB
- Xet hash:
- 9acfb67ac7168fe81fa615a67c6306b618ee35d5ef768d2e41712a80ead579a7
- Size of remote file:
- 3.96 kB
- SHA256:
- 580982c9ff15da1b2712eaac65d40b2fb8eb6560d9af72c122d78e69c12f885c
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