Instructions to use Jeevesh8/multiberts_seed_16_ft_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_16_ft_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_16_ft_1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_16_ft_1") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_16_ft_1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e2dd61ae115e6cbc9d11d9ee3121ba09317f2cf8c596ce1d8129456773637ef7
- Size of remote file:
- 438 MB
- SHA256:
- 80d31d9faa0446d96bd60d199b47ee6a0cf7100a80ec1ae125dfd4c47d402c0a
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