Instructions to use mdevoz/gatsby with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mdevoz/gatsby with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "mdevoz/gatsby") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from mdevoz/gatsby: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/mdevoz/gatsby/resolve/main/training_args.bin
- Command line
-
hf download hf://mdevoz/gatsby/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/mdevoz/gatsby/resolve/main/training_args.bin
4.03 kB
- Xet hash:
- c7e3d6f7cd6316921e80b597a449013f049c8aee8a2d15e63b1deb8f38a4b734
- Size of remote file:
- 4.03 kB
- SHA256:
- 4ea7a40f19ad7f307f8dfac068bacaad81c8697f28ce6e1271e2d9c988a3e01a
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