Instructions to use llmware/slim-emotions-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use llmware/slim-emotions-onnx with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("llmware/slim-emotions-onnx", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,6 +1,8 @@
|
|
| 1 |
---
|
| 2 |
license: apache-2.0
|
| 3 |
inference: false
|
|
|
|
|
|
|
| 4 |
tags: [green, p1, llmware-fx, onnx, emerald]
|
| 5 |
---
|
| 6 |
|
|
|
|
| 1 |
---
|
| 2 |
license: apache-2.0
|
| 3 |
inference: false
|
| 4 |
+
base_model: llmware/slim-emotions
|
| 5 |
+
base_model_relation: quantized
|
| 6 |
tags: [green, p1, llmware-fx, onnx, emerald]
|
| 7 |
---
|
| 8 |
|