Instructions to use badalsahani/oneAPI_QA_Model_kaggle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use badalsahani/oneAPI_QA_Model_kaggle with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="badalsahani/oneAPI_QA_Model_kaggle")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("badalsahani/oneAPI_QA_Model_kaggle") model = AutoModelForQuestionAnswering.from_pretrained("badalsahani/oneAPI_QA_Model_kaggle") - Notebooks
- Google Colab
- Kaggle
Commit 路
93abfa0
1
Parent(s): 8c2c21f
Training in progress, step 11500
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 265492517
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:709f32eb293f65eb362b3c09bb817b97d0fb2c76c5c370efc7173c46413045d6
|
| 3 |
size 265492517
|