Instructions to use deepset/minilm-uncased-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepset/minilm-uncased-squad2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="deepset/minilm-uncased-squad2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("deepset/minilm-uncased-squad2") model = AutoModelForQuestionAnswering.from_pretrained("deepset/minilm-uncased-squad2") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 68e1b7260fc64805c7b08c72593fc9951c0ec9e8fba89f3cecbccfc4ad4320bc
- Size of remote file:
- 1.49 kB
- SHA256:
- 1ce3a6d0039aa5ee6fd574fd8068641a8fd7d93c840d25e6d2f40b148c466d6e
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