Instructions to use jaswanthsanjay88/rev-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jaswanthsanjay88/rev-4b with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("Qwen/Qwen3-4B-Base") model = PeftModel.from_pretrained(base_model, "jaswanthsanjay88/rev-4b") - Notebooks
- Google Colab
- Kaggle
Download head.pt from jaswanthsanjay88/rev-4b: direct link, hf CLI and curl.
- Browser
- Download file 5.25 MB
-
https://huggingface.co/jaswanthsanjay88/rev-4b/resolve/main/head.pt
- Command line
-
hf download hf://jaswanthsanjay88/rev-4b/head.pt
-
curl -L -o head.pt https://huggingface.co/jaswanthsanjay88/rev-4b/resolve/main/head.pt
5.25 MB
- Xet hash:
- 73f679602723dfcc8dce8e0ec7b5718ed0d332c011a35204b735f2629288a68d
- Size of remote file:
- 5.25 MB
- SHA256:
- 5f24aaaf1f6615c7a74d29bc1097cbd3a002b6fb36d062d551dd5c7c7bb27ad2
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