Instructions to use Jeevesh8/multiberts_seed_6_ft_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_6_ft_0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_6_ft_0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_6_ft_0") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_6_ft_0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac39ff15592e0c39543481f01995deb63eca93debeabdc3e64bbda6751ab6fb4
- Size of remote file:
- 438 MB
- SHA256:
- 4edb3a7f7cd92d68f10e4bdf3c77481e6062a2082a2efd63333c0902a2554924
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.