Instructions to use ksabeh/distilbert-attribute-correction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ksabeh/distilbert-attribute-correction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ksabeh/distilbert-attribute-correction")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ksabeh/distilbert-attribute-correction") model = AutoModelForQuestionAnswering.from_pretrained("ksabeh/distilbert-attribute-correction") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files- tf_model.h5 +1 -1
tf_model.h5
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 265583688
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b72b5532e50d355be4283d831ff19be09a900d6038677461ad69c57b31ae3cd8
|
| 3 |
size 265583688
|