Instructions to use Syigen/rgcm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Syigen/rgcm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Syigen/rgcm")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Syigen/rgcm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.pt from Syigen/rgcm: direct link, hf CLI and curl.
- Browser
- Download file 442 MB
-
https://huggingface.co/Syigen/rgcm/resolve/main/model.pt
- Command line
-
hf download hf://Syigen/rgcm/model.pt
-
curl -L -o model.pt https://huggingface.co/Syigen/rgcm/resolve/main/model.pt
442 MB
- Xet hash:
- e1bd68a08f669fdb7b162af1c7663b0f01e5b4621859ed70229b37972546154c
- Size of remote file:
- 442 MB
- SHA256:
- 58255c1ecc04e59a5e5545788ce320fcce3695db0231e839b81a9a14dcf2911e
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