Instructions to use Jeevesh8/multiberts_seed_7_ft_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_7_ft_4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_7_ft_4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_7_ft_4") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_7_ft_4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 23b57ab369c84b6017191f161a925e0c3b56f92a521ecc54dd41ce267468e677
- Size of remote file:
- 438 MB
- SHA256:
- 1e98b79d52bd1f4eab0849ea223f28abd7e15e901dc718bcb2bc25461e347190
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