Instructions to use Gsj49/adaptiveG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gsj49/adaptiveG with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Gsj49/adaptiveG", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download models/coding/fixed4/seed42/step500/README.md from Gsj49/adaptiveG: direct link, hf CLI and curl.
- Browser
- Download file 377 Bytes
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https://huggingface.co/Gsj49/adaptiveG/resolve/main/models/coding/fixed4/seed42/step500/README.md
- Command line
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hf download hf://Gsj49/adaptiveG/models/coding/fixed4/seed42/step500/README.md
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curl -L -o README.md https://huggingface.co/Gsj49/adaptiveG/resolve/main/models/coding/fixed4/seed42/step500/README.md
377 Bytes
| library_name: transformers | |
| base_model: deepseek-ai/deepseek-coder-1.3b-base | |
| # DeepSeek-Coder-1.3B-Base / coding / fixed4 / seed 42 | |
| Final training checkpoint at step 500. Fixed group-size training. | |
| Only inference model and tokenizer files are included; no optimizer, training data or credentials. | |
| The base model's license and applicable use terms continue to apply. | |