Instructions to use Jeevesh8/multiberts_seed_2_ft_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_2_ft_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_2_ft_1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_2_ft_1") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_2_ft_1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 01e7626cceac88c7e1c88942b78d59d8403e68f6180b5dc365f31f3d07dab4a5
- Size of remote file:
- 438 MB
- SHA256:
- 190822fe9f1d6fd7ad8ad0acb98c393d21c664bdb83907ba493f9ceecbfd7d41
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