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 400
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 sha256:05d7a5800cbdd7e46e9c5fd02ae4fec6eb2665ca1718536e96924fc4e04dbabc
|
| 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 sha256:0b0acc538d36b53afc99242c2f5b7e4dff1abf9e441f7acfdcc8cc5a73af6cca
|
| 3 |
+
size 9694
|