Instructions to use Jeevesh8/multiberts_seed_0_ft_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_0_ft_0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_0_ft_0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_0_ft_0") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_0_ft_0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e1ca3772486a88162d842b76414fe2362d6d103f43b76207e0eb9cefd2d056cc
- Size of remote file:
- 438 MB
- SHA256:
- c90efe760c1ebbbd50010ce98a93b70aece6f97a2a835dd7c4b84ca7a50ad6d4
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