Instructions to use Jeevesh8/multiberts_seed_16_ft_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_16_ft_0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_16_ft_0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_16_ft_0") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_16_ft_0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c9e3405f255804ecab0d7c6f94b222f2a0dba2e09e4cc6fc3821730f39832a94
- Size of remote file:
- 438 MB
- SHA256:
- f5cfb242d9f7f159cfd27edd2409a9fa0423039d58715f15c3751577400d41a7
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