Instructions to use Jeevesh8/multiberts_seed_8_ft_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_8_ft_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_8_ft_1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_8_ft_1") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_8_ft_1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fe14c049d8dd1cf998299078c91a3baac370cb7fdfafd9d9b641aa1d44daf85a
- Size of remote file:
- 438 MB
- SHA256:
- 5a35a4a369c3a157b76f36e545b97059b7c2b5894c097e66391f6c75eb5e00f9
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