Instructions to use badalsahani/oneAPI_roberta_QA_Model_kaggle_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use badalsahani/oneAPI_roberta_QA_Model_kaggle_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="badalsahani/oneAPI_roberta_QA_Model_kaggle_2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("badalsahani/oneAPI_roberta_QA_Model_kaggle_2") model = AutoModelForQuestionAnswering.from_pretrained("badalsahani/oneAPI_roberta_QA_Model_kaggle_2") - Notebooks
- Google Colab
- Kaggle
Commit 路
95834e5
1
Parent(s): 7227153
Training in progress, step 5000
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 496294633
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:68d938b5f0288d7134a8d3119be741ae6608fe7c475091257ab3cb1cee46b7ef
|
| 3 |
size 496294633
|