Instructions to use Jeevesh8/multiberts_seed_21_ft_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_21_ft_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_21_ft_3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_21_ft_3") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_21_ft_3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 511fd17b8c8007875b7dc6db96b71a1946cb20a0381b76f1a62b29f3c80dd6a5
- Size of remote file:
- 438 MB
- SHA256:
- 23cc4a3e4f58141e3b96cb44155e61bba5ab06dea7a9c9c9bff93086cd956794
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