Instructions to use iamatif2003/Rubz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iamatif2003/Rubz with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="iamatif2003/Rubz")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("iamatif2003/Rubz") model = AutoModel.from_pretrained("iamatif2003/Rubz", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload iqraxx_lora_flux_871I_Rank8.zip with huggingface_hub
Browse files
iqraxx_lora_flux_871I_Rank8.zip
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e82bcccd7f92dd6b6a89179bda9dd2f0a21fae7eb36c4bf2968013854ef079c8
|
| 3 |
+
size 779657611
|