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:
- 22fe5b3a09cfb1d7c952872b7f09d9f6e0534cd28766bc4eb4438fb911b6d9fa
- Size of remote file:
- 876 MB
- SHA256:
- 925633871e97692b0290f797435799df06e12ea8be271e9f33f0fc31b1780b3b
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