Instructions to use ozcangundes/T5-base-for-BioQA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ozcangundes/T5-base-for-BioQA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ozcangundes/T5-base-for-BioQA")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ozcangundes/T5-base-for-BioQA") model = AutoModelForSeq2SeqLM.from_pretrained("ozcangundes/T5-base-for-BioQA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 99e764470eee04a2383bd5d1dc1d2969642fddf2f5ff60aedb304bfd504af79b
- Size of remote file:
- 892 MB
- SHA256:
- ed89e65118f9fa6eb4516287248aaee44a266ca1a56b3c53f9a064a1fbfb1459
路
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