Instructions to use agentsea/internlm-xcomposer2-4khd-7b-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use agentsea/internlm-xcomposer2-4khd-7b-4bit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="agentsea/internlm-xcomposer2-4khd-7b-4bit", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("agentsea/internlm-xcomposer2-4khd-7b-4bit", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ubuntu commited on
Commit ·
4762ca2
1
Parent(s): 29cbe97
feat: added quantized bin files
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pytorch_model-00001-of-00004.bin
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pytorch_model-00003-of-00004.bin
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pytorch_model-00004-of-00004.bin
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oid sha256:642b65149dc7189ee56f008256349dd3176f623d09746723be5849bd734d3d49
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size 1432410218
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