Instructions to use LocalLite/python-code-summarization-ministral-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LocalLite/python-code-summarization-ministral-8B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LocalLite/python-code-summarization-ministral-8B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- .gitattributes +4 -0
- checkpoint-200/adapter_config.json +42 -0
- checkpoint-200/special_tokens_map.json +24 -0
- checkpoint-200/tokenizer.json +3 -0
- checkpoint-200/tokenizer_config.json +0 -0
- checkpoint-200/trainer_state.json +278 -0
- checkpoint-300/adapter_config.json +42 -0
- checkpoint-300/special_tokens_map.json +24 -0
- checkpoint-300/tokenizer.json +3 -0
- checkpoint-300/tokenizer_config.json +0 -0
- checkpoint-300/trainer_state.json +400 -0
- checkpoint-400/adapter_config.json +42 -0
- checkpoint-400/special_tokens_map.json +24 -0
- checkpoint-400/tokenizer.json +3 -0
- checkpoint-400/tokenizer_config.json +0 -0
- checkpoint-400/trainer_state.json +522 -0
- special_tokens_map.json +24 -0
- tokenizer.json +3 -0
- tokenizer_config.json +0 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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checkpoint-200/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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checkpoint-300/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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checkpoint-400/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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checkpoint-200/adapter_config.json
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checkpoint-200/special_tokens_map.json
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checkpoint-200/trainer_state.json
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checkpoint-400/adapter_config.json
ADDED
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checkpoint-400/tokenizer.json
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