Instructions to use Jeevesh8/multiberts_seed_7_ft_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_7_ft_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_7_ft_2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_7_ft_2") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_7_ft_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c419bfb9733c000a4bcb80b51418e0e7fe81156155ff15b0ecffb019d0d20452
- Size of remote file:
- 438 MB
- SHA256:
- 151291a1bd8a3b4c5ded48fd425358fe6b475917e506beb2191b7a9b007396f6
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