Instructions to use SecurityXuanwuLab/HaS-820m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SecurityXuanwuLab/HaS-820m with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("SecurityXuanwuLab/HaS-820m") model = AutoModelForCausalLM.from_pretrained("SecurityXuanwuLab/HaS-820m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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以下是我们模型的演示视频:
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web端演示:
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<img src="https://tinypng.com/backend/opt/output/20j9t2s36aq4cs8wegyjjbwrf85cmpw4/video1_cover.png" alt="
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手机端演示:
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<img src="https://tinypng.com/backend/opt/output/svm4cs6aafwdgvqwm4h8r744thn09kas/video2_cover.png" alt="
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## 环境依赖
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由于机器学习环境配置复杂耗时,我们提供了一个[colab notebook](https://drive.google.com/file/d/1ZkGegZ_JjPy6k_wWnjaUaqq4QbF9LoWG/view?usp=sharing)用于demo,我们在下方列出了必要依赖供您参考。如果您在自己的环境上运行,可能需要根据自己设备做出一些调整。
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以下是我们模型的演示视频:
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web端演示:
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<img src="https://tinypng.com/backend/opt/output/20j9t2s36aq4cs8wegyjjbwrf85cmpw4/video1_cover.png" alt="web端演示视频" width="300" height="200">
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手机端演示:
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<img src="https://tinypng.com/backend/opt/output/svm4cs6aafwdgvqwm4h8r744thn09kas/video2_cover.png" alt="手机端演示视频" width="300" height="200">
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## 环境依赖
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由于机器学习环境配置复杂耗时,我们提供了一个[colab notebook](https://drive.google.com/file/d/1ZkGegZ_JjPy6k_wWnjaUaqq4QbF9LoWG/view?usp=sharing)用于demo,我们在下方列出了必要依赖供您参考。如果您在自己的环境上运行,可能需要根据自己设备做出一些调整。
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