Instructions to use ahotrod/albert_xxlargev1_squad2_512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ahotrod/albert_xxlargev1_squad2_512 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ahotrod/albert_xxlargev1_squad2_512")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ahotrod/albert_xxlargev1_squad2_512") model = AutoModelForQuestionAnswering.from_pretrained("ahotrod/albert_xxlargev1_squad2_512") - Notebooks
- Google Colab
- Kaggle
Update nbest_predictions_.json
Browse files- nbest_predictions_.json +3 -0
nbest_predictions_.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b8614111051eefd6bb4d2363c249ec553503d0e05ac5129b76cd502f0753945d
|
| 3 |
+
size 53215027
|