Instructions to use Jeevesh8/multiberts_seed_4_ft_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_4_ft_4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_4_ft_4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_4_ft_4") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_4_ft_4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eefe4fd0073f8de574dccee89f8c8bb6493881f796ab7715057b02fe069f47f4
- Size of remote file:
- 438 MB
- SHA256:
- 62426d82207ea732c84a3f209b9cbab8042fce7f9f20f1bb6dd528d6ea38848d
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