Instructions to use Bharat2004/out with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bharat2004/out with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Bharat2004/out")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Bharat2004/out") model = AutoModelForSequenceClassification.from_pretrained("Bharat2004/out") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cf6eb7633acdfa36ff2ab6278ebec8f078a133d8e80f31322838b21fca983934
- Size of remote file:
- 5.14 kB
- SHA256:
- c7966e9f74cd443c567b84b7ec705d1e7c74babe7e753367a45be92019b81a7e
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