Instructions to use Jeevesh8/multiberts_seed_2_ft_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_2_ft_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_2_ft_2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_2_ft_2") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_2_ft_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c307debafcf4427493de396b3df465b81c274fc6f61776e2b1ed12eb9544687
- Size of remote file:
- 438 MB
- SHA256:
- b6150ddaeffcfc22745ee8dd87e3518d43de40861d70137fa71d8a0e0374f787
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