Instructions to use davidrrobinson/BioLingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davidrrobinson/BioLingual with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="davidrrobinson/BioLingual")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("davidrrobinson/BioLingual") model = AutoModel.from_pretrained("davidrrobinson/BioLingual", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d0e9069d275e0d0595ee654254fe1d7969f3e56573b63e63b9430083dcbcb251
- Size of remote file:
- 615 MB
- SHA256:
- d8085671d60254a7283cc2a3f826877a1bbf612af83d16fcb9e67d4db6fdc096
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