Instructions to use Jeevesh8/multiberts_seed_0_ft_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_0_ft_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_0_ft_3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_0_ft_3") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_0_ft_3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8dbd939db3d74c7ac2062d0869f26ccc84be0d78fa8f9870427fdcd9709d0b4b
- Size of remote file:
- 438 MB
- SHA256:
- 3ba9b835b5f3d5e69dc4fc178745eeb2b697850941951b26e44f6f4b2503c293
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