Instructions to use Jeevesh8/multiberts_seed_22_ft_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_22_ft_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_22_ft_1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_22_ft_1") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_22_ft_1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9245e370545670433b27714fa5e6415d5902f6599498cfdfb204720ec9e360f5
- Size of remote file:
- 438 MB
- SHA256:
- 83435f937430ebacc8a4d3190d59f0a5ad19426b6501cc4982c2938a10b8758a
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