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
Download both/checkpoint-1000/latest from OutFlankShu/MATE: direct link, hf CLI and curl.
- Browser
- Download file 15 Bytes
-
https://huggingface.co/OutFlankShu/MATE/resolve/main/both/checkpoint-1000/latest
- Command line
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hf download hf://OutFlankShu/MATE/both/checkpoint-1000/latest
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curl -L -o latest https://huggingface.co/OutFlankShu/MATE/resolve/main/both/checkpoint-1000/latest
15 Bytes
| global_step1000 |