Instructions to use Oums/SSI_BioBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Oums/SSI_BioBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Oums/SSI_BioBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Oums/SSI_BioBERT") model = AutoModelForSequenceClassification.from_pretrained("Oums/SSI_BioBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5f194891c97a871e909f0cdb7ac65975fc9e37b2411c69923c217b144aed4dfd
- Size of remote file:
- 1.46 GB
- SHA256:
- 9694d9ebeb1ed43788d2554d9f07cb3de47799b276a48e488e3bb8cb0d4c1279
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