Instructions to use Granoladata/modality_classifier_biobert_f1_micro_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_micro_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_micro_v0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Granoladata/modality_classifier_biobert_f1_micro_v0") model = AutoModelForSequenceClassification.from_pretrained("Granoladata/modality_classifier_biobert_f1_micro_v0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f74539e0691b314f44936e5bfa0b576728577223b3bc2c00db61ee176fa01d07
- Size of remote file:
- 433 MB
- SHA256:
- 35115757305397d502d8e960e60039d402a69b8fd1a3ce0c92009b9d9ece8c76
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