Instructions to use Granoladata/modality_classifier_biobert_f1_v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Granoladata/modality_classifier_biobert_f1_v0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Granoladata/modality_classifier_biobert_f1_v0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Granoladata/modality_classifier_biobert_f1_v0") model = AutoModelForSequenceClassification.from_pretrained("Granoladata/modality_classifier_biobert_f1_v0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- af58e0e18486a3226ab857e91da85b74927eda2ee029ba5cd77d2a29a4cca45c
- Size of remote file:
- 4.92 kB
- SHA256:
- 04ae00aebb6b8b50b96853200c5d45341d4e992ecaa104feccd109e4125cd770
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