Instructions to use PrimWong/layout_qa_hparam_tuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PrimWong/layout_qa_hparam_tuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("document-question-answering", model="PrimWong/layout_qa_hparam_tuning")# Load model directly from transformers import AutoProcessor, AutoModelForDocumentQuestionAnswering processor = AutoProcessor.from_pretrained("PrimWong/layout_qa_hparam_tuning") model = AutoModelForDocumentQuestionAnswering.from_pretrained("PrimWong/layout_qa_hparam_tuning") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 7800
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 802053752
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2eb2775433318923a1431121ed1ad9c0bb97edf234e334da589e3b07671899f8
|
| 3 |
size 802053752
|
runs/Dec12_13-36-09_cmkl-MS-7C06/events.out.tfevents.1702362975.cmkl-MS-7C06.3612.1
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e7097bca9bbecdc2d8aa8051bd6e12a1f2d9a83c12e03671cddd9cfb83b7216b
|
| 3 |
+
size 73038
|