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
Download key_stats.pth from agentsea/internlm-xcomposer2-4khd-7b-4bit: direct link, hf CLI and curl.
- Browser
- Download file 223 kB
-
https://huggingface.co/agentsea/internlm-xcomposer2-4khd-7b-4bit/resolve/3d227c6953e4702b6ae02de0b1b8c183c7534ce1/key_stats.pth
- Command line
-
hf download hf://agentsea/internlm-xcomposer2-4khd-7b-4bit@3d227c6953e4702b6ae02de0b1b8c183c7534ce1/key_stats.pth
-
curl -L -o key_stats.pth https://huggingface.co/agentsea/internlm-xcomposer2-4khd-7b-4bit/resolve/3d227c6953e4702b6ae02de0b1b8c183c7534ce1/key_stats.pth
223 kB
- Xet hash:
- aff97e4d1e795a38942d7747598a07549148446bfaf921e1f4652eb3393c457b
- Size of remote file:
- 223 kB
- SHA256:
- 98664bff2eaff0075a4010ee0238f67afa47cd50b7114aaedeae338c1cd20a60
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