Instructions to use KameronB/sitcc-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KameronB/sitcc-roberta with Transformers:
# Load model directly from transformers import AutoTokenizer, RobertaForRegression tokenizer = AutoTokenizer.from_pretrained("KameronB/sitcc-roberta") model = RobertaForRegression.from_pretrained("KameronB/sitcc-roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download sitcc-robert.bin from KameronB/sitcc-roberta: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/KameronB/sitcc-roberta/resolve/9379945df6f3bf8f9ad6c0b36fe15ad85fe3d284/sitcc-robert.bin
- Command line
-
hf download hf://KameronB/sitcc-roberta@9379945df6f3bf8f9ad6c0b36fe15ad85fe3d284/sitcc-robert.bin
-
curl -L -o sitcc-robert.bin https://huggingface.co/KameronB/sitcc-roberta/resolve/9379945df6f3bf8f9ad6c0b36fe15ad85fe3d284/sitcc-robert.bin
499 MB
- Xet hash:
- 2f039544010c3ea60d7564fbfb250bda21e72ace5849ad0054fb3379651ddc56
- Size of remote file:
- 499 MB
- SHA256:
- d2adcf8223a5809360079a0b8a05b15c8527d1fe3f4c13e7f5476dd3f49876f3
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