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maxmnd
/
fine_tuned

Transformers
Safetensors
English
llama
text-generation-inference
unsloth
trl
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use maxmnd/fine_tuned with Transformers:

    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, PeftModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("maxmnd/fine_tuned")
    model = PeftModelForSeq2SeqLM.from_pretrained("maxmnd/fine_tuned", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Unsloth Desktop
fine_tuned
185 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 14 commits
maxmnd's picture
maxmnd
Create handler.py
14280bb verified about 2 years ago
  • .gitattributes
    1.57 kB
    Upload model trained with Unsloth about 2 years ago
  • README.md
    587 Bytes
    Upload README.md with huggingface_hub about 2 years ago
  • adapter_config.json
    734 Bytes
    Upload model trained with Unsloth about 2 years ago
  • adapter_model.safetensors
    168 MB
    xet
    Upload model trained with Unsloth about 2 years ago
  • config.json
    922 Bytes
    Update config.json about 2 years ago
  • handler.py
    2.04 kB
    Create handler.py about 2 years ago
  • requirements.txt
    61 Bytes
    Update requirements.txt about 2 years ago
  • special_tokens_map.json
    459 Bytes
    Upload model trained with Unsloth about 2 years ago
  • tokenizer.json
    17.2 MB
    xet
    Upload model trained with Unsloth about 2 years ago
  • tokenizer_config.json
    50.6 kB
    Upload model trained with Unsloth about 2 years ago