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:
- 53987ca2ac615a27bc7f4bee2c3aa704ede97332df049861e034e2ea53f2a97d
- Size of remote file:
- 438 MB
- SHA256:
- ea098b83dc5ef451f3549645e1fe51383c5bbab08b39e0a81bb49c0a2f1d6eca
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