Instructions to use Andrija/SRoBERTa-L-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Andrija/SRoBERTa-L-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Andrija/SRoBERTa-L-NER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Andrija/SRoBERTa-L-NER") model = AutoModelForTokenClassification.from_pretrained("Andrija/SRoBERTa-L-NER") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0e891799dc2d3f7e053e5ab9803f38427f3951d2b0bcfc323ce04f632a767b09
- Size of remote file:
- 319 MB
- SHA256:
- 6b229ee740261c6d7a3de09aec0976757983822d700d2d92cbd600adef28632d
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