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 Settings
- Unsloth Studio
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, )
Training in progress, step 1500, checkpoint
Browse files
last-checkpoint/adapter_config.json
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"task_type": "CAUSAL_LM",
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last-checkpoint/optimizer.pt
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last-checkpoint/scheduler.pt
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last-checkpoint/trainer_state.json
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"best_global_step": null,
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"learning_rate": 0.00019783319385748891,
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| 431 |
}
|
| 432 |
],
|
| 433 |
"logging_steps": 10,
|
|
@@ -447,7 +1077,7 @@
|
|
| 447 |
"attributes": {}
|
| 448 |
}
|
| 449 |
},
|
| 450 |
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"total_flos":
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| 2 |
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| 4 |
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| 6 |
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| 7 |
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|
| 8 |
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| 9 |
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| 10 |
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| 428 |
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| 429 |
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},
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{
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