Instructions to use Jeevesh8/multiberts_seed_14_ft_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_14_ft_0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_14_ft_0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_14_ft_0") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_14_ft_0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3440bac11f56fac76179a12cf8970aab45d5d19f6a3491acab022290f6b0ae2c
- Size of remote file:
- 438 MB
- SHA256:
- 78dfab5576e29fdc89205cfb5cecfa3c5c78d296f7456c2312be79dab452262e
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