Instructions to use khaled44/bea-2way-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use khaled44/bea-2way-full with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="khaled44/bea-2way-full")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("khaled44/bea-2way-full") model = AutoModelForSequenceClassification.from_pretrained("khaled44/bea-2way-full") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b840e0064ba004823ebb6ac64a516f4469b16495891e2e75321bfa94f22bede8
- Size of remote file:
- 5.27 kB
- SHA256:
- 07207451ebf91b0d1a33fb233e8a84bae25e3b75234587f2168284698bd03b4a
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