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 training_args.bin from ram-lexsi/agenttune-testrun-vector-memory: direct link, hf CLI and curl.
- Browser
- Download file 7.38 kB
-
https://huggingface.co/ram-lexsi/agenttune-testrun-vector-memory/resolve/main/training_args.bin
- Command line
-
hf download hf://ram-lexsi/agenttune-testrun-vector-memory/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ram-lexsi/agenttune-testrun-vector-memory/resolve/main/training_args.bin
7.38 kB
- Xet hash:
- c0c10abd7f7e385fddec4632f8200bcab5a4fa5fb166a734e848edd6b684ace1
- Size of remote file:
- 7.38 kB
- SHA256:
- 2fc8c3f1808036cf4881b4019e7772804f75952e849b6f5f2ae81d35a2852eae
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