Instructions to use tyavika/09-Distilbert-QA-Pytorch-FULL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tyavika/09-Distilbert-QA-Pytorch-FULL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="tyavika/09-Distilbert-QA-Pytorch-FULL")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("tyavika/09-Distilbert-QA-Pytorch-FULL") model = AutoModelForQuestionAnswering.from_pretrained("tyavika/09-Distilbert-QA-Pytorch-FULL") - Notebooks
- Google Colab
- Kaggle
End of training
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 sha256:6d881443a7ccd552b8846f559ca0e98de6e7cb03b04e46f332850a203601d692
|
| 3 |
size 265492517
|