Instructions to use rootlocalghost/LongCat-Image-Edit-Turbo-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rootlocalghost/LongCat-Image-Edit-Turbo-FP8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-to-image", model="rootlocalghost/LongCat-Image-Edit-Turbo-FP8")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rootlocalghost/LongCat-Image-Edit-Turbo-FP8", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload FP8 quantized text_encoder/model-00001-of-00005.safetensors
Browse files
text_encoder/model-00001-of-00005.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ffdd393f597f42681caf86aa43bf1acb5ca0092ec5153849d37f92966477018c
|
| 3 |
+
size 1950141688
|