Instructions to use egoitz/roberta-timex-semeval with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use egoitz/roberta-timex-semeval with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="egoitz/roberta-timex-semeval")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("egoitz/roberta-timex-semeval") model = AutoModelForTokenClassification.from_pretrained("egoitz/roberta-timex-semeval", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update training_args.bin
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:921c45af070db33b002ea8f23cb2b889a7b948dc9da5404f70ef95fd100fd162
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size 1297
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