Instructions to use saburbutt/testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saburbutt/testing with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="saburbutt/testing")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("saburbutt/testing") model = AutoModelForQuestionAnswering.from_pretrained("saburbutt/testing") - Notebooks
- Google Colab
- Kaggle
added json and txt extension
Browse files- .gitattributes +2 -0
.gitattributes
CHANGED
|
@@ -6,3 +6,5 @@
|
|
| 6 |
*.tar.gz filter=lfs diff=lfs merge=lfs -text
|
| 7 |
*.ot filter=lfs diff=lfs merge=lfs -text
|
| 8 |
*.onnx filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
|
|
|
| 6 |
*.tar.gz filter=lfs diff=lfs merge=lfs -text
|
| 7 |
*.ot filter=lfs diff=lfs merge=lfs -text
|
| 8 |
*.onnx filter=lfs diff=lfs merge=lfs -text
|
| 9 |
+
*.json filter=lfs diff=lfs merge=lfs -text
|
| 10 |
+
*.txt filter=lfs diff=lfs merge=lfs -text
|