Instructions to use sano90/qwen3-pointing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sano90/qwen3-pointing with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sano90/qwen3-pointing", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 20
Browse files- README.md +3 -4
- adapter_config.json +2 -2
- adapter_model.safetensors +1 -1
- training_args.bin +1 -1
README.md
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model_name: qwen3-pointing
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tags:
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- generated_from_trainer
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- trl
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- trackio
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- sft
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licence: license
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---
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## Training procedure
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[<img src="https://raw.githubusercontent.com/gradio-app/trackio/refs/heads/main/trackio/assets/badge.png" alt="Visualize in Trackio" title="Visualize in Trackio" width="150" height="24"/>](https://sano90-trackio.hf.space?project=huggingface&runs=sano90-
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This model was trained with SFT.
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model_name: qwen3-pointing
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tags:
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- generated_from_trainer
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- sft
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- trl
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- trackio:https://sano90-trackio.hf.space?project=huggingface&runs=sano90-1774865948&sidebar=collapsed
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licence: license
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---
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## Training procedure
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[<img src="https://raw.githubusercontent.com/gradio-app/trackio/refs/heads/main/trackio/assets/badge.png" alt="Visualize in Trackio" title="Visualize in Trackio" width="150" height="24"/>](https://sano90-trackio.hf.space?project=huggingface&runs=sano90-1774865948&sidebar=collapsed)
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This model was trained with SFT.
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adapter_config.json
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"rank_pattern": {},
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"target_parameters": null,
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"task_type": "CAUSAL_LM",
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"target_parameters": null,
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"task_type": "CAUSAL_LM",
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adapter_model.safetensors
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training_args.bin
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