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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c37e44c1c799c3d1d70ab76f929f4e8471b6711b5fe41ce5326776eb501ba064
- Size of remote file:
- 4.98 kB
- SHA256:
- 0b6ec61d8515dbde80f452d4eebf4c157d5bb1a610c5c30434886b5f9933e57d
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