Instructions to use Jeevesh8/multiberts_seed_9_ft_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_9_ft_0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_9_ft_0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_9_ft_0") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_9_ft_0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b7d0d796718c3c7a5db03ef7373553530139333c5ef6439f3a348a95b748285c
- Size of remote file:
- 438 MB
- SHA256:
- def0c00f54b478f167366a07422c4408a3289ba8a0656ccbc69098e89c426484
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