Instructions to use CMB-AI-LAB/lagkv_cache with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CMB-AI-LAB/lagkv_cache with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("CMB-AI-LAB/lagkv_cache", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Add pipeline tag, license, and remove redundant section
Verified signatureThis PR improves the model card by: - Adding `pipeline_tag: text-generation` to ensure better discoverability for users looking for text generation models or related optimizations. - Adding `license: mit` to the metadata. - Removing the extraneous `# File information` section from the content, as it's not part of a standard model card.fdbfb59
-
Upload folder using huggingface_hub
Verified signaturedafad47 -
Upload folder using huggingface_hub
Verified signatured9addd5 -
Delete folder custom_generate/.ipynb_checkpoints with huggingface_hub
Verified signature603586d -
Delete folder .ipynb_checkpoints with huggingface_hub
Verified signature820a56d -
Upload folder using huggingface_hub
Verified signature76f5e06 -
Upload folder using huggingface_hub
Verified signatured60851f -
initial commit
Verified signaturee19afa9