Instructions to use Jeevesh8/multiberts_seed_20_ft_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_20_ft_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_20_ft_1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_20_ft_1") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_20_ft_1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e835c4334e9077759c753771ae89ff6ad28963027cfce83d8d6477b9584176e
- Size of remote file:
- 438 MB
- SHA256:
- 150b90b2d90459bb9ed5fe00c19b586d97c002b7a581fae4a80ab63e0c3b8ec3
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