Instructions to use Jeevesh8/multiberts_seed_11_ft_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_11_ft_0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_11_ft_0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_11_ft_0") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_11_ft_0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 56041845bc69c67e626bb71fc6d49c9e45cbe868b4992214f8c00a2b0b57650b
- Size of remote file:
- 438 MB
- SHA256:
- b66683bdb3a0ea44499a3d1967ba67408878f7f31f0a0688e3b0b1a499812be6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.