Instructions to use Jeevesh8/multiberts_seed_22_ft_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_22_ft_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_22_ft_2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_22_ft_2") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_22_ft_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d588f8150614359eaa6fb8a4a19330e50eed52c852af6af9b5da2eaf324bde58
- Size of remote file:
- 438 MB
- SHA256:
- 8141eaa3d2912da2b12741a519cd8d42cb968ecd273e3b29021c15d731183ff4
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