Instructions to use Jeevesh8/multiberts_seed_19_ft_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_19_ft_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_19_ft_1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_19_ft_1") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_19_ft_1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c1abb1165ae3365c6eab82465a63fcd8cea1a854792538d767ee82243b8175e
- Size of remote file:
- 438 MB
- SHA256:
- 15e96f86b96fb7fc5fa87c6277cbc7a1a05c2f77a6a4d8cbe45b32a1451a30ad
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