Instructions to use Jeevesh8/multiberts_seed_21_ft_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_21_ft_4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_21_ft_4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_21_ft_4") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_21_ft_4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1583aba53af654fce469fc4e7e264ab9b29a7e09670e618a992fda80629f7bf6
- Size of remote file:
- 438 MB
- SHA256:
- c48d6e4b30cf4c84b6d274e6d7c51f7d4c7924270fa2249b50e88c7a99a151e1
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