Instructions to use eolang/SW-NER-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eolang/SW-NER-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="eolang/SW-NER-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("eolang/SW-NER-v1") model = AutoModelForTokenClassification.from_pretrained("eolang/SW-NER-v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- accf7efeb56219f1ef922e736f44b3fe61f18aae678cdae019d325d275b85cd3
- Size of remote file:
- 436 MB
- SHA256:
- 7156e001a8cc8577dce270662788c651f3cab85b705244bf68065357a5b18833
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