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:
- d002cf52a41f97f31b357038b29ab403050ab4a6d93f77f8be3e43864e44f6e9
- Size of remote file:
- 2.61 kB
- SHA256:
- 0038f8443fced8ea0506644eda05d961f22b06782b03a346adac828b8eadfb50
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