Question Answering
Transformers
Safetensors
biology
medical
biomedical
natural-language-processing
relation-extraction
named-entity-recognition
synthetic-biology
synthetic-data
low-resource
biomedbert
Instructions to use szd0709/MultiAgent4SyntheticBioNLP-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use szd0709/MultiAgent4SyntheticBioNLP-models with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="szd0709/MultiAgent4SyntheticBioNLP-models")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("szd0709/MultiAgent4SyntheticBioNLP-models", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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