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 scheduler.pt from mdevoz/gatsby: direct link, hf CLI and curl.
- Browser
- Download file 627 Bytes
-
https://huggingface.co/mdevoz/gatsby/resolve/main/scheduler.pt
- Command line
-
hf download hf://mdevoz/gatsby/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/mdevoz/gatsby/resolve/main/scheduler.pt
627 Bytes
- Xet hash:
- 9738ed7334e6ca451510cce598c94121a8dfddb26f0aac308128312d3e1b9312
- Size of remote file:
- 627 Bytes
- SHA256:
- 88184716d6b717a43f21359737d35ee2662980f37ebde1af218dbad4e0dd1cee
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