Instructions to use Jean-Baptiste/roberta-ticker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jean-Baptiste/roberta-ticker with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Jean-Baptiste/roberta-ticker")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Jean-Baptiste/roberta-ticker") model = AutoModelForTokenClassification.from_pretrained("Jean-Baptiste/roberta-ticker", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (e441f586f76a06ecba6b8246f382518363081b2c) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>0541339
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Update README.md
Correcting example13ee076
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Update config.json
Renaming entity to be compatible with new aggregation strategy9a44ab5
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minor modif in readme
jeanpollb28d090 -
initial commit
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initial commit
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