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 value_stats.pth from agentsea/internlm-xcomposer2-4khd-7b-4bit: direct link, hf CLI and curl.
- Browser
- Download file 224 kB
-
https://huggingface.co/agentsea/internlm-xcomposer2-4khd-7b-4bit/resolve/3d227c6953e4702b6ae02de0b1b8c183c7534ce1/value_stats.pth
- Command line
-
hf download hf://agentsea/internlm-xcomposer2-4khd-7b-4bit@3d227c6953e4702b6ae02de0b1b8c183c7534ce1/value_stats.pth
-
curl -L -o value_stats.pth https://huggingface.co/agentsea/internlm-xcomposer2-4khd-7b-4bit/resolve/3d227c6953e4702b6ae02de0b1b8c183c7534ce1/value_stats.pth
224 kB
- Xet hash:
- 704201b89c98b2ae41012a0e76d410d22d90cd7fc020ed09f2280cbcc378dbe5
- Size of remote file:
- 224 kB
- SHA256:
- 2a71ae59e80dc1c35a04990d1c6750e7ac2006b063221be5138d09e987b18643
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