Instructions to use sinu/IndoBERT-ExamQA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sinu/IndoBERT-ExamQA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="sinu/IndoBERT-ExamQA")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("sinu/IndoBERT-ExamQA") model = AutoModelForQuestionAnswering.from_pretrained("sinu/IndoBERT-ExamQA") - 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 sha256:7bbdeeaa5b19791820c89a007c0c781470f25cf8df2e1b912a942140b38f3645
|
| 3 |
+
size 439904152
|