Instructions to use Jean-Baptiste/roberta-large-ner-english with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jean-Baptiste/roberta-large-ner-english with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Jean-Baptiste/roberta-large-ner-english")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Jean-Baptiste/roberta-large-ner-english") model = AutoModelForTokenClassification.from_pretrained("Jean-Baptiste/roberta-large-ner-english", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d53654b4bf8e1ea36312ed05af909632d99c9957659b183ff394bcd0a2cd3211
- Size of remote file:
- 1.42 GB
- SHA256:
- 689bbe69ce7fb4aedd7dbe43be806cb67e4e2d512ffa5de81d1ab0c89e87d654
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