Instructions to use textattack/facebook-bart-base-glue-RTE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use textattack/facebook-bart-base-glue-RTE with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("textattack/facebook-bart-base-glue-RTE") model = AutoModelForSeq2SeqLM.from_pretrained("textattack/facebook-bart-base-glue-RTE") - Notebooks
- Google Colab
- Kaggle
Commit ·
28ae4c5
0
Parent(s):
initial commit
Browse files- .gitattributes +8 -0
.gitattributes
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
*.bin.* filter=lfs diff=lfs merge=lfs -text
|
| 2 |
+
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
| 3 |
+
*.bin filter=lfs diff=lfs merge=lfs -text
|
| 4 |
+
*.h5 filter=lfs diff=lfs merge=lfs -text
|
| 5 |
+
*.tflite 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
|