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 optimizer.pt from mdevoz/gatsby: direct link, hf CLI and curl.
- Browser
- Download file 171 MB
-
https://huggingface.co/mdevoz/gatsby/resolve/main/optimizer.pt
- Command line
-
hf download hf://mdevoz/gatsby/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/mdevoz/gatsby/resolve/main/optimizer.pt
171 MB
- Xet hash:
- 4e33f537c0fb8aa3b0510449857c0b78a7be0a121c59bd64f30613d3db69088a
- Size of remote file:
- 171 MB
- SHA256:
- b062056413c5a1fb98e14ad0443b8312d46bb0f8158ed1d39425a7adc5865f33
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