Instructions to use Jeevesh8/multiberts_seed_1_ft_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_1_ft_4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_1_ft_4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_1_ft_4") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_1_ft_4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32960a46a9876e24acc77e74690ea71951ceae7c3c17808d441e475fc6f70f43
- Size of remote file:
- 438 MB
- SHA256:
- cf12022bde39b17b2958dcf82d33e77eb5f12fb732b24aa2d415b2a582a7d282
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