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madhuHuggingface
/
functiongemma-vpc-finetunedv2

Transformers
Safetensors
Generated from Trainer
trl
unsloth
sft
Model card Files Files and versions
xet
Community

Instructions to use madhuHuggingface/functiongemma-vpc-finetunedv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use madhuHuggingface/functiongemma-vpc-finetunedv2 with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("madhuHuggingface/functiongemma-vpc-finetunedv2", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Unsloth Studio new

    How to use madhuHuggingface/functiongemma-vpc-finetunedv2 with Unsloth Studio:

    Install Unsloth Studio (macOS, Linux, WSL)
    curl -fsSL https://unsloth.ai/install.sh | sh
    # Run unsloth studio
    unsloth studio -H 0.0.0.0 -p 8888
    # Then open http://localhost:8888 in your browser
    # Search for madhuHuggingface/functiongemma-vpc-finetunedv2 to start chatting
    Install Unsloth Studio (Windows)
    irm https://unsloth.ai/install.ps1 | iex
    # Run unsloth studio
    unsloth studio -H 0.0.0.0 -p 8888
    # Then open http://localhost:8888 in your browser
    # Search for madhuHuggingface/functiongemma-vpc-finetunedv2 to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for madhuHuggingface/functiongemma-vpc-finetunedv2 to start chatting
    Load model with FastModel
    pip install unsloth
    from unsloth import FastModel
    model, tokenizer = FastModel.from_pretrained(
        model_name="madhuHuggingface/functiongemma-vpc-finetunedv2",
        max_seq_length=2048,
    )
functiongemma-vpc-finetunedv2
384 MB
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  • 1 contributor
History: 338 commits
madhuHuggingface's picture
madhuHuggingface
Upload model trained with Unsloth
ad39867 verified 3 days ago
  • last-checkpoint
    Training in progress, step 8742, checkpoint 3 days ago
  • .gitattributes
    1.57 kB
    Training in progress, step 100 4 days ago
  • README.md
    1.55 kB
    Training in progress, step 100 3 days ago
  • adapter_config.json
    1.2 kB
    Training in progress, step 100 3 days ago
  • adapter_model.safetensors
    122 MB
    xet
    Training in progress, step 8742 3 days ago
  • added_tokens.json
    63 Bytes
    Training in progress, step 100 4 days ago
  • chat_template.jinja
    13.9 kB
    Training in progress, step 100 4 days ago
  • special_tokens_map.json
    714 Bytes
    Training in progress, step 100 4 days ago
  • tokenizer.json
    33.4 MB
    xet
    Training in progress, step 100 4 days ago
  • tokenizer.model
    4.69 MB
    xet
    Training in progress, step 100 4 days ago
  • tokenizer_config.json
    1.16 MB
    Upload model trained with Unsloth 3 days ago
  • training_args.bin

    Detected Pickle imports (10)

    • "transformers.trainer_utils.HubStrategy",
    • "transformers.trainer_utils.SchedulerType",
    • "torch.device",
    • "transformers.training_args.OptimizerNames",
    • "accelerate.utils.dataclasses.DistributedType",
    • "UnslothSFTTrainer.UnslothSFTConfig",
    • "transformers.trainer_pt_utils.AcceleratorConfig",
    • "transformers.trainer_utils.SaveStrategy",
    • "transformers.trainer_utils.IntervalStrategy",
    • "accelerate.state.PartialState"

    How to fix it?

    5.78 kB
    xet
    Training in progress, step 100 4 days ago