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 vocab.json from KameronB/sitcc-roberta: direct link, hf CLI and curl.
- Browser
- Download file 999 kB
-
https://huggingface.co/KameronB/sitcc-roberta/resolve/42f67913d3c3ef948c2a4f58f3f796c88f172546/vocab.json
- Command line
-
hf download hf://KameronB/sitcc-roberta@42f67913d3c3ef948c2a4f58f3f796c88f172546/vocab.json
-
curl -L -o vocab.json https://huggingface.co/KameronB/sitcc-roberta/resolve/42f67913d3c3ef948c2a4f58f3f796c88f172546/vocab.json
999 kB
File too large to display, you can check the raw version instead.