Instructions to use Datasaur/bert-FewNERD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Datasaur/bert-FewNERD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Datasaur/bert-FewNERD")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Datasaur/bert-FewNERD") model = AutoModelForTokenClassification.from_pretrained("Datasaur/bert-FewNERD", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b9c2e89f25cd17f5044497d863fb99c078d7d2f7a8709235d8eab727f340403a
- Size of remote file:
- 436 MB
- SHA256:
- 8d9838589240a25cc3d1eb75065d1eac8326be77730dd07cf0095109c518137a
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