Instructions to use isaaclee/output_run1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use isaaclee/output_run1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.1") model = PeftModel.from_pretrained(base_model, "isaaclee/output_run1") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from isaaclee/output_run1: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/isaaclee/output_run1/resolve/main/training_args.bin
- Command line
-
hf download hf://isaaclee/output_run1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/isaaclee/output_run1/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- 89d724b6da44946fe1ece3a516cf0e4b49f30862d5afc9ba7a36672f0d6240a9
- Size of remote file:
- 4.73 kB
- SHA256:
- a96ff2b1e35bc0db6d95c709191c384787456ec12b977eb4858d73d602b7fd8e
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