Instructions to use ShushantLLM/experiments with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ShushantLLM/experiments with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "ShushantLLM/experiments") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ShushantLLM/experiments: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/ShushantLLM/experiments/resolve/main/training_args.bin
- Command line
-
hf download hf://ShushantLLM/experiments/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ShushantLLM/experiments/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 3d0f4f0e6a3034807e9a1a98803444b5932e394cfc83b0a2167fac1560599e44
- Size of remote file:
- 4.92 kB
- SHA256:
- 8740dcd20d22f174682f285742b8a210c902ca99d46ee9922595a7336fd9e7a6
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