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selinas
/
Accel2

PEFT
PyTorch
Safetensors
Habana
llama
Model card Files Files and versions
xet
Community
1

Instructions to use selinas/Accel2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use selinas/Accel2 with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("openlm-research/open_llama_3b_v2")
    model = PeftModel.from_pretrained(base_model, "selinas/Accel2")
  • Notebooks
  • Google Colab
  • Kaggle
Accel2
6.86 GB
Ctrl+K
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  • 1 contributor
History: 5 commits
selinas's picture
selinas
Update README.md
d624773 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    5.24 kB
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  • adapter_config.json
    499 Bytes
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  • adapter_model.safetensors
    5.34 MB
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  • all_results.json
    527 Bytes
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  • config.json
    506 Bytes
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  • eval_results.json
    382 Bytes
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  • gaudi_config.json
    247 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (4)

    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage",
    • "torch.HalfStorage"

    What is a pickle import?

    6.85 GB
    xet
    Upload pytorch_model.bin almost 2 years ago
  • special_tokens_map.json
    209 Bytes
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  • tokenizer.json
    1.87 MB
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  • tokenizer.model
    512 kB
    xet
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  • tokenizer_config.json
    933 Bytes
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