Instructions to use eventdata-utd/conflibert-satp-binary-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eventdata-utd/conflibert-satp-binary-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="eventdata-utd/conflibert-satp-binary-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("eventdata-utd/conflibert-satp-binary-classification") model = AutoModelForTokenClassification.from_pretrained("eventdata-utd/conflibert-satp-binary-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0207c097fe4d155e2653ebe5ef74c9c36cb408cc0c043a52b5532bbdbed10361
- Size of remote file:
- 434 MB
- SHA256:
- b24e6770236a9cb0a3b1c82c2de1c0c52b0da2f65499c6daa0b0145745e38746
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