Instructions to use pmorelr/layoutlm-doclaynet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pmorelr/layoutlm-doclaynet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="pmorelr/layoutlm-doclaynet")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("pmorelr/layoutlm-doclaynet") model = AutoModelForTokenClassification.from_pretrained("pmorelr/layoutlm-doclaynet") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 15
Browse files
logs/events.out.tfevents.1677492569.138-2-233-57.286291.0
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 sha256:4011a683254bde7f0029cb66a50428a166c5088c4fb56816add9a43106eae0f5
|
| 3 |
+
size 14192
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 450618853
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e2c7423f7cd10d8f02fd83ecd564451d2f4132e01e934bdbbbda429e556c99dc
|
| 3 |
size 450618853
|