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:
- c33a46b713aabf2e32bb3462b60ea8f5ac9a38f52a5d4d4f22f4ae922121581e
- Size of remote file:
- 3.64 kB
- SHA256:
- 56de85429789efd514193314996057f42d1a1ab6937ef21c917ded9c25438bb7
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