Instructions to use Jeevesh8/multiberts_seed_11_ft_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_11_ft_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_11_ft_1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_11_ft_1") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_11_ft_1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c78cf92270fe295883258db25924320b5c753610f71823a28a35ec0985b35b0
- Size of remote file:
- 438 MB
- SHA256:
- 519951c2d18eb22c58d4cd23e741691a0d2cdadff6a01a1a6093ba95598a6411
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