Instructions to use Jeevesh8/multiberts_seed_20_ft_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_20_ft_4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_20_ft_4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_20_ft_4") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_20_ft_4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4c56054814ea443652fa86816ae27490c8ea8e8d442c1c6c8b0dc77ffe0faace
- Size of remote file:
- 438 MB
- SHA256:
- 4dfdfebc042ba6b3e28079cba9ff7aa1a160bb7bb8b02a099d7996f8b6d3215e
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