Instructions to use Jeevesh8/multiberts_seed_21_ft_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_21_ft_0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_21_ft_0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_21_ft_0") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_21_ft_0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cefb9bda0c521cc10e1de0193b53257e9991475ac39b335efafd5a15fe3fa828
- Size of remote file:
- 438 MB
- SHA256:
- b3631cdb6414d8a31e83e7f4e994420199191937f20fd0b4ca3600e0515f4962
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