Instructions to use Granoladata/modality_classifier_biobert_weighted_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_weighted_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_weighted_classes_v0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Granoladata/modality_classifier_biobert_weighted_classes_v0") model = AutoModelForSequenceClassification.from_pretrained("Granoladata/modality_classifier_biobert_weighted_classes_v0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd197a2a5f87bd7cc5e06f12f2cda57f680442d0fe1e25e3838b812742cec86f
- Size of remote file:
- 433 MB
- SHA256:
- 84b0feffc5905a42c908b255e028e7e8f4241609908e801089d0f25ba556bcf7
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