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:
- 26812c530fb98304f422fef7de9a66e5fc67d7904dc55b9dcee4ad0f7db29c0e
- Size of remote file:
- 433 MB
- SHA256:
- bd01ed42ae839be9d91112ee3ed60cbdacc15f8c9678db541d75da39561aeea8
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