Instructions to use Jeevesh8/multiberts_seed_10_ft_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_10_ft_4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_10_ft_4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_10_ft_4") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_10_ft_4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c61e53f4b85bf13aadb5abea4ac98a9d8b07db238e4f78b7001699d1a117e78c
- Size of remote file:
- 438 MB
- SHA256:
- 15660404b2a9210fad313d9bb76bec59879feba800118558db061399b407bf36
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