Instructions to use Jeevesh8/bl__mnli_ft_8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bl__mnli_ft_8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bl__mnli_ft_8")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bl__mnli_ft_8") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bl__mnli_ft_8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 84b9d2e98ae4a0ceca17c32c26e8ce9faff9da820ae510b2c69f104f7ebdcc9b
- Size of remote file:
- 1.34 GB
- SHA256:
- 09c11fbef06adc5b08d4414fe7892284df93a34f1c7213ff6c93067acc519528
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