Instructions to use Jeevesh8/multiberts_seed_1_ft_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_1_ft_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_1_ft_3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_1_ft_3") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_1_ft_3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2558cc136835d93e23874326b2a5947f120f1b64abebe2dd05fde26894fb7b9f
- Size of remote file:
- 438 MB
- SHA256:
- c13902d1a0502d16a98d704e5178a2a7287d283c592d3baffbd86465b3b1307b
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