Instructions to use joboffer/a3ccab33-6a2b-4673-b4b6-a79bd48d8422 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use joboffer/a3ccab33-6a2b-4673-b4b6-a79bd48d8422 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Pro-Mistral-7B") model = PeftModel.from_pretrained(base_model, "joboffer/a3ccab33-6a2b-4673-b4b6-a79bd48d8422") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from joboffer/a3ccab33-6a2b-4673-b4b6-a79bd48d8422: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/joboffer/a3ccab33-6a2b-4673-b4b6-a79bd48d8422/resolve/main/training_args.bin
- Command line
-
hf download hf://joboffer/a3ccab33-6a2b-4673-b4b6-a79bd48d8422/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/joboffer/a3ccab33-6a2b-4673-b4b6-a79bd48d8422/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- b253ff84ae3df3f4ac6db8e3381259237daf86889f15244d4d0a3e979ffeda62
- Size of remote file:
- 6.78 kB
- SHA256:
- 3fda2f95731cef4316d0bf1e3307e7c446db254f3a3376bb59316e87a8112727
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