Instructions to use YuWangX/memoryllm-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YuWangX/memoryllm-7b with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import MemoryLLM model = MemoryLLM.from_pretrained("YuWangX/memoryllm-7b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model-00004-of-00004.bin from YuWangX/memoryllm-7b: direct link, hf CLI and curl.
- Browser
- Download file 1.27 GB
-
https://huggingface.co/YuWangX/memoryllm-7b/resolve/main/pytorch_model-00004-of-00004.bin
- Command line
-
hf download hf://YuWangX/memoryllm-7b/pytorch_model-00004-of-00004.bin
-
curl -L -o pytorch_model-00004-of-00004.bin https://huggingface.co/YuWangX/memoryllm-7b/resolve/main/pytorch_model-00004-of-00004.bin
1.27 GB
- Xet hash:
- 6c56b205da29e3bb27d2dcbd4505a2be7812d1196b83840da19c24be1522167b
- Size of remote file:
- 1.27 GB
- SHA256:
- c1af515e45429da23e67cc0944f1216ae2b9f2f728253f63ad69714de4c67633
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