Instructions to use Jeevesh8/multiberts_seed_6_ft_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_6_ft_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_6_ft_1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_6_ft_1") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_6_ft_1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8faaf718a3cbb985a3a7ee60fc67facefb264ba1e3bd6a53589dfeaeee6d2e2f
- Size of remote file:
- 438 MB
- SHA256:
- 2f15c6b13ee3f7a7eec2df36ee33fa39e21299889c2a166205d72a7e24a8e0e4
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