Instructions to use Jeevesh8/multiberts_seed_11_ft_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_11_ft_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_11_ft_2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_11_ft_2") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_11_ft_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8efac2557335689c3ae3faada31de4d594aeacf5cbd623d062b34fc14abf7a36
- Size of remote file:
- 438 MB
- SHA256:
- 492bbeb09ee907f6d26329e55d2b8f60a93e2ce1568f5dea3bebff6c1e7fd5a3
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