Instructions to use Disty0/sotediffusion-wuerstchen3_text_encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Disty0/sotediffusion-wuerstchen3_text_encoder with Transformers:
# Load model directly from transformers import AutoTokenizer, CLIPTextModelWithProjection tokenizer = AutoTokenizer.from_pretrained("Disty0/sotediffusion-wuerstchen3_text_encoder") model = CLIPTextModelWithProjection.from_pretrained("Disty0/sotediffusion-wuerstchen3_text_encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload sotediffusion-wr3_3b-base_text_model.safetensors
Browse files
sotediffusion-wr3_3b-base_text_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2135638aaa3bf73df0b1c78fc6e35bb745abc4f21526f88fa1a75dc48ec99eee
|
| 3 |
+
size 1389382144
|