Instructions to use Wollaston/gelato-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Wollaston/gelato-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Wollaston/gelato-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Wollaston/gelato-roberta-base") model = AutoModelForTokenClassification.from_pretrained("Wollaston/gelato-roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Wollaston/gelato-roberta-base: direct link, hf CLI and curl.
- Browser
- Download file 5.84 kB
-
https://huggingface.co/Wollaston/gelato-roberta-base/resolve/main/training_args.bin
- Command line
-
hf download hf://Wollaston/gelato-roberta-base/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Wollaston/gelato-roberta-base/resolve/main/training_args.bin
5.84 kB
- Xet hash:
- abf6d8044df16764281ac7edfbf247588917cece1cac49459735a9f90d561883
- Size of remote file:
- 5.84 kB
- SHA256:
- 4275d5942f7750943ff9c5d6820b95d3d5b34137d393aeb3872364835cb1bacc
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