Instructions to use Jeevesh8/multiberts_seed_14_ft_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_14_ft_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_14_ft_1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_14_ft_1") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_14_ft_1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4957a9745262a3504cb53540e6b41cdd2cf9aa153b18b7ff4b73fc15c7821f24
- Size of remote file:
- 438 MB
- SHA256:
- 91e38562a4030d283b91bcd3d56c5954a1eb459a6b8c49aeeda6a6ba13ccf484
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