Instructions to use Jeevesh8/bl__mnli_ft_6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bl__mnli_ft_6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bl__mnli_ft_6")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bl__mnli_ft_6") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bl__mnli_ft_6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0fd3f3169f8db62be6d09ae42cbec797bc264017fb19336439c642a835dd73d4
- Size of remote file:
- 1.34 GB
- SHA256:
- 83ac0cf87303466838c3769ac0a1756330b9325cc7c81e7497c78b7825c018b0
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