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 pytorch_model.bin from KameronB/sitcc-roberta: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/KameronB/sitcc-roberta/resolve/adbd1aae9338794a4c59b9af2eddc1596ff334b3/pytorch_model.bin
- Command line
-
hf download hf://KameronB/sitcc-roberta@adbd1aae9338794a4c59b9af2eddc1596ff334b3/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/KameronB/sitcc-roberta/resolve/adbd1aae9338794a4c59b9af2eddc1596ff334b3/pytorch_model.bin
499 MB
- Xet hash:
- 72ba4a58a94edd9ead8aeec4b4a15dc7603bc4ea54a1ab40c1b6585a70828f42
- Size of remote file:
- 499 MB
- SHA256:
- e6a2b55d4d24f8dc9f6fffb92e1f9565ea2eb58965d89ee343a2ceaa5d9e821a
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