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xray1111
/
emotion-ft-4bit

PEFT
Model card Files Files and versions
xet
Community
1

Instructions to use xray1111/emotion-ft-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use xray1111/emotion-ft-4bit with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("baichuan-inc/baichuan-7B")
    model = PeftModel.from_pretrained(base_model, "xray1111/emotion-ft-4bit")
  • Notebooks
  • Google Colab
  • Kaggle
emotion-ft-4bit
28.2 MB
Ctrl+K
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  • 1 contributor
History: 14 commits
librarian-bot's picture
librarian-bot
Librarian Bot: Add base_model information to model
0c111b2 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    64 Bytes
    Librarian Bot: Add base_model information to model over 2 years ago
  • adapter_config.json
    422 Bytes
    Upload model almost 3 years ago
  • adapter_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    25.2 MB
    xet
    Upload model almost 3 years ago
  • added_tokens.json
    21 Bytes
    Upload tokenizer almost 3 years ago
  • special_tokens_map.json
    434 Bytes
    Upload tokenizer almost 3 years ago
  • tokenizer.json
    1.84 MB
    Upload tokenizer almost 3 years ago
  • tokenizer.model
    1.14 MB
    xet
    Upload tokenizer almost 3 years ago
  • tokenizer_config.json
    867 Bytes
    Upload tokenizer almost 3 years ago