Instructions to use khanhbk20/mrc_dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use khanhbk20/mrc_dev 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="khanhbk20/mrc_dev")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("khanhbk20/mrc_dev") model = AutoModel.from_pretrained("khanhbk20/mrc_dev", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from khanhbk20/mrc_dev: direct link, hf CLI and curl.
- Browser
- Download file 98 Bytes
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https://huggingface.co/khanhbk20/mrc_dev/resolve/main/README.md
- Command line
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hf download hf://khanhbk20/mrc_dev/README.md
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curl -L -o README.md https://huggingface.co/khanhbk20/mrc_dev/resolve/main/README.md
98 Bytes
| license: apache-2.0 | |
| language: | |
| - vi | |
| metrics: | |
| - exact_match | |
| pipeline_tag: question-answering | |