Instructions to use xraychen/mqa-baseline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xraychen/mqa-baseline with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="xraychen/mqa-baseline")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("xraychen/mqa-baseline") model = AutoModelForQuestionAnswering.from_pretrained("xraychen/mqa-baseline") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e5888336b29ba8304c83c6987e987ba9989c11e5e8434e155209f082dbba671
- Size of remote file:
- 436 MB
- SHA256:
- 442b4785352ba9126bebb86d0c808b7702394e5d379665094263059c8e5eb10e
路
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