Instructions to use Jeevesh8/multiberts_seed_1_ft_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_1_ft_0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_1_ft_0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_1_ft_0") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_1_ft_0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c5729c26e1565a06d33444eeaa1f2f3f4e12c5ea25e0dbfba1e88449040c35e
- Size of remote file:
- 438 MB
- SHA256:
- 20121d73fb643b6d0c82684ec1c0ce0ca07ef76904ad629ac3bbd3af38bdc8ac
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