Instructions to use sehandev/koelectra-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sehandev/koelectra-qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="sehandev/koelectra-qa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("sehandev/koelectra-qa") model = AutoModelForQuestionAnswering.from_pretrained("sehandev/koelectra-qa") - Notebooks
- Google Colab
- Kaggle
koelectra-qa
Browse files- pytorch_model.bin +2 -2
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f7841d869d24ecd03bdbfa67888356425b00fc450e59af83634bf93110625df8
|
| 3 |
+
size 449417294
|