Instructions to use Andrija/SRoBERTa-base-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Andrija/SRoBERTa-base-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Andrija/SRoBERTa-base-NER")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Andrija/SRoBERTa-base-NER") model = AutoModelForTokenClassification.from_pretrained("Andrija/SRoBERTa-base-NER", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add "multilingual" to the language tag (#1)
- Add "multilingual" to the language tag (a127f9da72aafd03a7e506cd2720b32c565f4ca8) Co-authored-by: Loïck BOURDOIS <lbourdois@users.noreply.huggingface.co>aab36d3
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Update config.json
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Update README.md
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Update to v3 base model
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Updated labels
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Create README.md
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