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 adapter_model.bin from mdevoz/gatsby: direct link, hf CLI and curl.
- Browser
- Download file 340 MB
-
https://huggingface.co/mdevoz/gatsby/resolve/main/adapter_model.bin
- Command line
-
hf download hf://mdevoz/gatsby/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/mdevoz/gatsby/resolve/main/adapter_model.bin
340 MB
- Xet hash:
- eccaa6df41e400a25f3e94684c03f6a0ffc0677593c8e8b8e99b7b68d330d4f8
- Size of remote file:
- 340 MB
- SHA256:
- 3a115f6961f99ecc18ae1227e602f0f7f4d4652fd756ce092450b6b7e5d02713
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