Instructions to use CATIE-AQ/QAmembert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CATIE-AQ/QAmembert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="CATIE-AQ/QAmembert")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("CATIE-AQ/QAmembert") model = AutoModelForQuestionAnswering.from_pretrained("CATIE-AQ/QAmembert") - Notebooks
- Google Colab
- Kaggle
Commit ·
b9be56c
1
Parent(s): 61eed8a
Delete training_args.bin
Browse files- training_args.bin +0 -3
training_args.bin
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:580efb47b2e7da692d570accc6059a82e6be119ff2c4da4064ea4a41e3332569
|
| 3 |
-
size 3375
|
|
|
|
|
|
|
|
|
|
|
|