Instructions to use Jeevesh8/multiberts_seed_24_ft_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_24_ft_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_24_ft_2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_24_ft_2") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_24_ft_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d6a09535de76225ce31dd5ad3689d3143c0c737ed6fe6cb460da84925f34903b
- Size of remote file:
- 438 MB
- SHA256:
- e63e978816f669b0b0d0828bd24dc8561d5f785ff12fc115262e84a40d4a6c28
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.