Instructions to use Granoladata/modality_classifier_biobert_ROC_v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Granoladata/modality_classifier_biobert_ROC_v0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Granoladata/modality_classifier_biobert_ROC_v0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Granoladata/modality_classifier_biobert_ROC_v0") model = AutoModelForSequenceClassification.from_pretrained("Granoladata/modality_classifier_biobert_ROC_v0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 22231bebd782972921033a5de478aece1cf80ce5867ef556086af9f913d4f518
- Size of remote file:
- 433 MB
- SHA256:
- 29c75249ca3cdf3b156a7963947b295c1d4bf7523b11dc9f7a26df160053bf07
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