Instructions to use dmis-lab/biobert-base-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-base-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-base-cased-v1.1-squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("dmis-lab/biobert-base-cased-v1.1-squad") model = AutoModelForQuestionAnswering.from_pretrained("dmis-lab/biobert-base-cased-v1.1-squad") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a9ec84691a06a4373b3fd32187bb7bdd501f816a34ffc317b7bcb43c113b0340
- Size of remote file:
- 431 MB
- SHA256:
- dfd809789ed0d8486ed24f5bced8510faf53d9ae0f4daf75cb01e5845d416586
路
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