Instructions to use mnavas/roberta-finetuned-token-reqzar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mnavas/roberta-finetuned-token-reqzar with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, RobertaForSpanCategorization tokenizer = AutoTokenizer.from_pretrained("mnavas/roberta-finetuned-token-reqzar") model = RobertaForSpanCategorization.from_pretrained("mnavas/roberta-finetuned-token-reqzar", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from mnavas/roberta-finetuned-token-reqzar: direct link, hf CLI and curl.
- Browser
- Download file 2.21 MB
-
https://huggingface.co/mnavas/roberta-finetuned-token-reqzar/resolve/main/tokenizer.json
- Command line
-
hf download hf://mnavas/roberta-finetuned-token-reqzar/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/mnavas/roberta-finetuned-token-reqzar/resolve/main/tokenizer.json
2.21 MB
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