Instructions to use Jeevesh8/bl__mnli_ft_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bl__mnli_ft_4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bl__mnli_ft_4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bl__mnli_ft_4") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bl__mnli_ft_4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ad50e0c274e192ff8dc3f4713af050afddfe521524cc25c95a17801ea4d68e1
- Size of remote file:
- 1.34 GB
- SHA256:
- 62305fc3a741017c61b0146ff84dfcbead16b845f3e33f464181f3ee59ec872d
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