Instructions to use MartaYang007/ONE-SHOT-14B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MartaYang007/ONE-SHOT-14B with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image, export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MartaYang007/ONE-SHOT-14B", dtype=torch.bfloat16, device_map="cuda") pipe.to("cuda") prompt = "A man with short gray hair plays a red electric guitar." image = load_image( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png" ) output = pipe(image=image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
Initial release: ONE-SHOT-14B (transformer / vae / text_encoder / tokenizer / scheduler / preprocess / demo)
0be9b89 Download tokenizer/tokenizer.json from MartaYang007/ONE-SHOT-14B: direct link, hf CLI and curl.
- Browser
- Download file 16.8 MB
-
https://huggingface.co/MartaYang007/ONE-SHOT-14B/resolve/main/tokenizer/tokenizer.json
- Command line
-
hf download hf://MartaYang007/ONE-SHOT-14B/tokenizer/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/MartaYang007/ONE-SHOT-14B/resolve/main/tokenizer/tokenizer.json
16.8 MB
- Xet hash:
- f7b92491858c0923bd01aeb98a554de12094096a12d0195f578ff70b421702b7
- Size of remote file:
- 16.8 MB
- SHA256:
- 20a46ac256746594ed7e1e3ef733b83fbc5a6f0922aa7480eda961743de080ef
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