Instructions to use Jeevesh8/multiberts_seed_10_ft_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_10_ft_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_10_ft_1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_10_ft_1") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_10_ft_1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 87c167f3c4a1de9602af28bfac15fcdc3ade55fc503f19f75ff9f63d160e7994
- Size of remote file:
- 438 MB
- SHA256:
- a73508d49aefd84669c10d08c1cd99b9776baac423dfaa261da7ee1e003cbd49
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