Instructions to use subbareddyoota/bigram with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use subbareddyoota/bigram with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="subbareddyoota/bigram")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("subbareddyoota/bigram") model = AutoModelForSequenceClassification.from_pretrained("subbareddyoota/bigram") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0cedf39f2665fc1a1fe8f8139b7f87830535e2269aa6eaa28658a4ad94891588
- Size of remote file:
- 3.12 kB
- SHA256:
- 6faefaede93829099e697bbf7e1a8da2830e8dc2c77d4ce1625b476d5da97363
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