Instructions to use Jeevesh8/multiberts_seed_24_ft_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_24_ft_0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_24_ft_0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_24_ft_0") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_24_ft_0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d0e1dd4968d7a5fd0c45b639532e567936be7a5844d8f7ebe052bf57c3c9f1cc
- Size of remote file:
- 438 MB
- SHA256:
- a40bdaffbe56b5fb6311e3f140a3b55eab8f46acb33eaf3652959247598f6233
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