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")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Jean-Baptiste/roberta-ticker") model = AutoModelForTokenClassification.from_pretrained("Jean-Baptiste/roberta-ticker") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 9a44ab5
Update README.md
Browse filesCorrecting example
README.md
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@@ -29,7 +29,7 @@ model = AutoModelForTokenClassification.from_pretrained("Jean-Baptiste/roberta-t
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from transformers import pipeline
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nlp = pipeline('ner', model=model, tokenizer=tokenizer,
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nlp("I am going to buy 100 shares of cake tomorrow")
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[{'entity_group': 'TICKER',
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from transformers import pipeline
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nlp = pipeline('ner', model=model, tokenizer=tokenizer, aggregation_strategy="simple")
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nlp("I am going to buy 100 shares of cake tomorrow")
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[{'entity_group': 'TICKER',
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