Instructions to use Light1Smile/test2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Light1Smile/test2 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="Light1Smile/test2")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Light1Smile/test2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -2,6 +2,8 @@
|
|
| 2 |
license: apache-2.0
|
| 3 |
datasets:
|
| 4 |
- HuggingFaceM4/Docmatix
|
|
|
|
|
|
|
| 5 |
language:
|
| 6 |
- zh
|
| 7 |
metrics:
|
|
|
|
| 2 |
license: apache-2.0
|
| 3 |
datasets:
|
| 4 |
- HuggingFaceM4/Docmatix
|
| 5 |
+
- openai/MMMLU
|
| 6 |
+
- google/frames-benchmark
|
| 7 |
language:
|
| 8 |
- zh
|
| 9 |
metrics:
|