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 # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="badalsahani/oneAPI_roberta_QA_Model_kaggle_2")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit 路
e8dc5fa
1
Parent(s): 6b7226c
Training in progress, step 1500
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 sha256:3302d286e6791224f65065e92905500c1cc4ecd0754392549390a318bbe89c21
|
| 3 |
size 496294633
|