Instructions to use Jeevesh8/multiberts_seed_24_ft_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_24_ft_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_24_ft_3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_24_ft_3") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_24_ft_3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 584f66ace22b87a1a648a378d1ae1010d368dce42c2f7f4363b4e02595fe08e8
- Size of remote file:
- 438 MB
- SHA256:
- 90349bb0197281f9e7b5486640b464299a2ffcfa17337bb91c2c0f63c8a985c9
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