Instructions to use Jeevesh8/multiberts_seed_5_ft_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_5_ft_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_5_ft_3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_5_ft_3") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_5_ft_3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 255186717d210bf1f5002e4d1969ddcda9f9702275e6b9b4b69e7164cbf640ba
- Size of remote file:
- 438 MB
- SHA256:
- 94c1ee84de92e2a21930bfc72ea11b0dfb9e4503fc0a438280bcdc9c0ecb8098
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