Instructions to use Jeevesh8/multiberts_seed_8_ft_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_8_ft_4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_8_ft_4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_8_ft_4") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_8_ft_4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 701865f30c6e3e27c8238c713b4bc3a58dbffa725ad18652486cbe8fe401a15e
- Size of remote file:
- 438 MB
- SHA256:
- caced6314e25e64948da5391d2ea4d964436fa7dbeda6ed3299705617e108cc3
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