Instructions to use vvincentt/deberta-v3-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vvincentt/deberta-v3-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="vvincentt/deberta-v3-base")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("vvincentt/deberta-v3-base") model = AutoModelForQuestionAnswering.from_pretrained("vvincentt/deberta-v3-base") - Notebooks
- Google Colab
- Kaggle
Training complete
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 430955313
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:17d5f2f3062eb29a535258b117b4f8493350ad0eef46128d526356ef8a78bb2e
|
| 3 |
size 430955313
|
runs/Oct18_10-31-53_5154c263ffe8/events.out.tfevents.1666089128.5154c263ffe8.69.0
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:f38fef547e42ca04a586f7b933fb91d1396a318dbec35951c866f92ee57e6218
|
| 3 |
+
size 18219
|