Instructions to use Jeevesh8/bl__mnli_ft_5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bl__mnli_ft_5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bl__mnli_ft_5")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bl__mnli_ft_5") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bl__mnli_ft_5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e4993b1c2dad747accef6b07f1b4a1513f543b1b00a323d20cdd4a98759044e4
- Size of remote file:
- 1.34 GB
- SHA256:
- f11c94f3938ece6eb2ede99324d0649786cb3aa2675a0683b3a64fd88e717ff9
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