Instructions to use mdmy/sft_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mdmy/sft_output with Transformers:
# Load model directly from transformers import AutoProcessor, Qwen2VLForConditionalGenerationWithAudio processor = AutoProcessor.from_pretrained("mdmy/sft_output") model = Qwen2VLForConditionalGenerationWithAudio.from_pretrained("mdmy/sft_output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 3500
Browse files
model-00002-of-00008.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4985787752
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:70b0befd33e7542835644c78125216a1574ee6e43e098a64b7b13015c4014659
|
| 3 |
size 4985787752
|