Audio-Text-to-Text
Transformers
English
Chinese
transformer
multimodal
vqa
text
audio
Eval Results (legacy)
Instructions to use zeroMN/SHMT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zeroMN/SHMT with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("zeroMN/SHMT", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -339,7 +339,13 @@ You need to use separate code, audio, text, and natural language together with t
|
|
| 339 |
# Model Card for Evolutionary
|
| 340 |
|
| 341 |
--
|
| 342 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 343 |
-
|
| 344 |
### Model breast_cancer_wisconsin_original test
|
| 345 |
|
|
|
|
| 339 |
# Model Card for Evolutionary
|
| 340 |
|
| 341 |
--
|
| 342 |
+
<script
|
| 343 |
+
type="module"
|
| 344 |
+
src="https://gradio.s3-us-west-2.amazonaws.com/5.12.0/gradio.js"
|
| 345 |
+
></script>
|
| 346 |
+
|
| 347 |
+
<gradio-app src="https://zeromn-zeromn-shmt.hf.space"></gradio-app>
|
| 348 |
+
|
| 349 |
-
|
| 350 |
### Model breast_cancer_wisconsin_original test
|
| 351 |
|