Instructions to use Jeevesh8/multiberts_seed_17_ft_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_17_ft_0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_17_ft_0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_17_ft_0") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_17_ft_0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b83375f7918c8b64f12eeb2c37fe7934683107515e757c7d711279ef3b9f8440
- Size of remote file:
- 438 MB
- SHA256:
- 92f8c91dbcc91ec0efb49bb98e0084ad9fec4dda677ca508c4fa72533e45351d
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