Instructions to use ram-lexsi/agenttune-testrun-vector-memory with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ram-lexsi/agenttune-testrun-vector-memory with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ram-lexsi/agenttune-testrun-vector-memory", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-10/optimizer.pt from ram-lexsi/agenttune-testrun-vector-memory: direct link, hf CLI and curl.
- Browser
- Download file 6.66 MB
-
https://huggingface.co/ram-lexsi/agenttune-testrun-vector-memory/resolve/main/checkpoint-10/optimizer.pt
- Command line
-
hf download hf://ram-lexsi/agenttune-testrun-vector-memory/checkpoint-10/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/ram-lexsi/agenttune-testrun-vector-memory/resolve/main/checkpoint-10/optimizer.pt
6.66 MB
- Xet hash:
- 7e7b60824c13d1ee3911afa1530a7873601607b6e05d3ad8f0a8ba7e167133cf
- Size of remote file:
- 6.66 MB
- SHA256:
- 503f65105f55c7db660bbdec0995eeefae04a1f555dd09456db176fac326b974
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