Instructions to use Mit1208/UDOP-finetuned-DocLayNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mit1208/UDOP-finetuned-DocLayNet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Mit1208/UDOP-finetuned-DocLayNet")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("Mit1208/UDOP-finetuned-DocLayNet") model = AutoModelForTokenClassification.from_pretrained("Mit1208/UDOP-finetuned-DocLayNet") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 200
Browse files- model.safetensors +1 -1
- training_args.bin +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1355766676
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9ed1b671d8b34c8eda9e66b8416511138ed2248197bb82b31d93786fcd769741
|
| 3 |
size 1355766676
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4920
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:531127c1614682cb324be282a02c57e67df3a4b21be6729249633b216bb67b86
|
| 3 |
size 4920
|