Text-to-Video
Transformers
Safetensors
Bengali
English
stable-diffusion
bangla
lora
scene-planning
computer-vision
natural-language-processing
mlops
production-grade
Instructions to use likhonsheikh/memo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use likhonsheikh/memo with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("likhonsheikh/memo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Add deployment script for multiple platforms
Verified signaturefa6a36b -
Add comprehensive deployment guide for inference providers
Verified signature0fc720a -
Add proper YAML metadata for model card
Verified signature1490417 -
Add Apache License 2.0
Verified signature1797e3a -
Add comprehensive model card as README
Verified signaturea0f8460 -
Upload Memo: Production-grade Transformers + Safetensors implementation
Verified signaturea8fc815
-
initial commit
Verified signature6910a91