Instructions to use TCMLLM/Lingdan-13B-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TCMLLM/Lingdan-13B-Base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="TCMLLM/Lingdan-13B-Base", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TCMLLM/Lingdan-13B-Base", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from TCMLLM/Lingdan-13B-Base: direct link, hf CLI and curl.
- Browser
- Download file 28 Bytes
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https://huggingface.co/TCMLLM/Lingdan-13B-Base/resolve/main/README.md
- Command line
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hf download hf://TCMLLM/Lingdan-13B-Base/README.md
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curl -L -o README.md https://huggingface.co/TCMLLM/Lingdan-13B-Base/resolve/main/README.md
28 Bytes
metadata
license: apache-2.0