Instructions to use dmis-lab/biobert-large-cased-v1.1-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dmis-lab/biobert-large-cased-v1.1-squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="dmis-lab/biobert-large-cased-v1.1-squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("dmis-lab/biobert-large-cased-v1.1-squad") model = AutoModelForQuestionAnswering.from_pretrained("dmis-lab/biobert-large-cased-v1.1-squad", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3e0c4972e72c78829cac55b26cdbf7118b9801b23c85ff0ef203b935fb4a4a2a
- Size of remote file:
- 1.45 GB
- SHA256:
- bb0385e0f7ca3fdd1a74831c7e2cfc608891a6b74249b1e99ece611c0f051b96
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