Instructions to use OutFlankShu/MATE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OutFlankShu/MATE with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="OutFlankShu/MATE")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OutFlankShu/MATE", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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- accuracy
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base_model:
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- meta-llama/Llama-3.1-8B
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---
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- accuracy
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base_model:
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pipeline_tag: question-answering
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library_name: transformers
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tags:
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- chess
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- reasoning
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