Instructions to use SalmonAI123/vi-mrc-large-version-2-version-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SalmonAI123/vi-mrc-large-version-2-version-2 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="SalmonAI123/vi-mrc-large-version-2-version-2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("SalmonAI123/vi-mrc-large-version-2-version-2") model = AutoModelForQuestionAnswering.from_pretrained("SalmonAI123/vi-mrc-large-version-2-version-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from SalmonAI123/vi-mrc-large-version-2-version-2: direct link, hf CLI and curl.
- Browser
- Download file 2.24 GB
-
https://huggingface.co/SalmonAI123/vi-mrc-large-version-2-version-2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://SalmonAI123/vi-mrc-large-version-2-version-2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/SalmonAI123/vi-mrc-large-version-2-version-2/resolve/main/pytorch_model.bin
2.24 GB
- Xet hash:
- cb253926548b0d9a663ca3f2654ce4efe430d7100830a7e310e383fcc020f870
- Size of remote file:
- 2.24 GB
- SHA256:
- 41427cfeb870fdc039dd3d602d244593a3a6c5d54e8cca0b24711a6e79e8a693
路
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