Instructions to use Granoladata/modality_classifier_biobert_augmented_classes_v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Granoladata/modality_classifier_biobert_augmented_classes_v0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Granoladata/modality_classifier_biobert_augmented_classes_v0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Granoladata/modality_classifier_biobert_augmented_classes_v0") model = AutoModelForSequenceClassification.from_pretrained("Granoladata/modality_classifier_biobert_augmented_classes_v0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 26b54da590e78ee5373cf6e549cff1ffb27005ddcaccc8cc9fa0e7ea3ad97c76
- Size of remote file:
- 433 MB
- SHA256:
- 32e47300f0895e14e5b8c07d06875570acdfd2b093a8f905d94042a7484b3b8c
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