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markaked
/
venus-ape

Question Answering
Transformers
Safetensors
English
Russian
qwen2
text-generation
qwen
chat
fine-tuned
experimental
trl
sft
text-generation-inference
8-bit precision
Model card Files Files and versions
xet
Community

Instructions to use markaked/venus-ape with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use markaked/venus-ape with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="markaked/venus-ape")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("markaked/venus-ape")
    model = AutoModelForCausalLM.from_pretrained("markaked/venus-ape")
  • Notebooks
  • Google Colab
  • Kaggle
venus-ape
Ctrl+K
Ctrl+K
  • 1 contributor
History: 17 commits
markaked's picture
markaked
Delete adapter_model.safetensors
78f9dfd verified 4 days ago
  • .gitattributes
    1.57 kB
    Upload tokenizer 21 days ago
  • LICENSE
    1.23 kB
    Rename LICENSE.md to LICENSE 4 days ago
  • README.md
    4.07 kB
    Update README.md 4 days ago
  • chat_template.jinja
    2.51 kB
    Upload tokenizer 21 days ago
  • config.json
    1.37 kB
    Upload config.json with huggingface_hub 12 days ago
  • generation_config.json
    216 Bytes
    Upload Qwen2ForCausalLM 13 days ago
  • model.safetensors
    7.73 GB
    xet
    Upload Qwen2ForCausalLM 13 days ago
  • tokenizer.json
    11.4 MB
    xet
    Upload tokenizer 21 days ago
  • tokenizer_config.json
    662 Bytes
    Upload tokenizer 13 days ago