Instructions to use Jeevesh8/multiberts_seed_0_ft_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_0_ft_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_0_ft_1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_0_ft_1") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_0_ft_1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11bb6f3a498a5399f39b1a01cdfb70470856a255daaa89a5496a68e3d5ffe02a
- Size of remote file:
- 438 MB
- SHA256:
- 500cb68cda19230d6d89a33093b1299fe7c4d98362557e975c1be7180ebc7ba5
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