Instructions to use Zaid/mbert_xquad_ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Zaid/mbert_xquad_ar with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Zaid/mbert_xquad_ar")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Zaid/mbert_xquad_ar") model = AutoModelForQuestionAnswering.from_pretrained("Zaid/mbert_xquad_ar", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:aac461cb5fc249bc5d9a22b95b64f8c9032b8b91fef55094dfe0525f32fc39d6
|
| 3 |
+
size 709085088
|