Instructions to use hagara/biobert-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hagara/biobert-qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hagara/biobert-qa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hagara/biobert-qa") model = AutoModelForQuestionAnswering.from_pretrained("hagara/biobert-qa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- def33021fdc39a134b7bc7da9148b28c9b635469ee8a741b04ba4cea34e4e0e7
- Size of remote file:
- 1.45 GB
- SHA256:
- 011f86b0f12b45761a46dc39036570a9f06ded981daae2a024d201960d734cec
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