Instructions to use Jeevesh8/multiberts-seed_12_ft_33 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts-seed_12_ft_33 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts-seed_12_ft_33")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts-seed_12_ft_33") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts-seed_12_ft_33") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 653a71ee6f6ad0b04de968b0e1d746ff72d554e3e56e0f2892a470a884a6f5b8
- Size of remote file:
- 438 MB
- SHA256:
- 1a0112f1a23ad6694b51bae2dd439e00ebf78590afd176f3353891014d8c68d7
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