Instructions to use Jeevesh8/multiberts_seed_4_ft_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_4_ft_0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_4_ft_0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_4_ft_0") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_4_ft_0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fd536b149948057904777afe1c537fd5bbdee16fef682b620cf50024e072b4e4
- Size of remote file:
- 438 MB
- SHA256:
- 7689ed2fac4f8d6a5f8b5b0e45dc331c0360f6ec5ea2c3977d70fb98a351f382
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