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HIT-TMG
/
EviOmni-nq_train-7B

Question Answering
Transformers
Safetensors
qwen2
text-generation
text-generation-inference
Model card Files Files and versions
xet
Community

Instructions to use HIT-TMG/EviOmni-nq_train-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use HIT-TMG/EviOmni-nq_train-7B 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="HIT-TMG/EviOmni-nq_train-7B")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("HIT-TMG/EviOmni-nq_train-7B")
    model = AutoModelForCausalLM.from_pretrained("HIT-TMG/EviOmni-nq_train-7B", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
EviOmni-nq_train-7B
15.2 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
Yuki131's picture
Yuki131
Update README.md
63bee7a verified about 1 year ago
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  • model.safetensors.index.json
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  • special_tokens_map.json
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  • test_samples.json
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  • tokenizer.json
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  • tokenizer_config.json
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  • vocab.json
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