Instructions to use Jeevesh8/multiberts_seed_23_ft_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_23_ft_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_23_ft_1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_23_ft_1") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_23_ft_1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 886f7967546a356a44af69de4cc459cf1e7c6b45edf5d1707f99bfa12910a548
- Size of remote file:
- 438 MB
- SHA256:
- 71216c302ca4353bcaa4830b8b50f2ed5d97832097a8b66cc43fb3bffb3b528f
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