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 training_args.bin from SalmonAI123/vi-mrc-large-version-2-version-2: direct link, hf CLI and curl.
- Browser
- Download file 4.09 kB
-
https://huggingface.co/SalmonAI123/vi-mrc-large-version-2-version-2/resolve/main/training_args.bin
- Command line
-
hf download hf://SalmonAI123/vi-mrc-large-version-2-version-2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/SalmonAI123/vi-mrc-large-version-2-version-2/resolve/main/training_args.bin
4.09 kB
- Xet hash:
- 20e18f67b5508b6d6c835070ba41d8d98c77d2ab93373add528932a65f1a2556
- Size of remote file:
- 4.09 kB
- SHA256:
- fc53cc21711fa56ba064ad87bd03bedd2af17baa1f9b55bea5a07bbf439bb353
路
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