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
Download tokenizer.json from khanhbk20/mrc_dev: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/khanhbk20/mrc_dev/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://khanhbk20/mrc_dev@refs/pr/1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/khanhbk20/mrc_dev/resolve/refs%2Fpr%2F1/tokenizer.json
17.1 MB
- Xet hash:
- 6c817fd51edadfac59db79178c12fb84bd39546a74e6669baa7aaa394a8353be
- Size of remote file:
- 17.1 MB
- SHA256:
- 8666fdab5ac4930b05db388cb079d1e8848f7db3e786d5f53994e3666d18a0b4
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