Instructions to use Jeevesh8/multiberts_seed_5_ft_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_5_ft_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_5_ft_2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_5_ft_2") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_5_ft_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4da6b60f60996bf9407f7a5e160d36e0de3e0cd0fb645c3e19f38609f7664f52
- Size of remote file:
- 438 MB
- SHA256:
- 96582a288e2c7e1ddfa24ac7d170d431ecb2d384bc3bdabcc1957409a042dcca
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