Instructions to use Benedict-L/layoutlm-funsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Benedict-L/layoutlm-funsd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Benedict-L/layoutlm-funsd")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Benedict-L/layoutlm-funsd") model = AutoModelForTokenClassification.from_pretrained("Benedict-L/layoutlm-funsd") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 14
Browse files
logs/events.out.tfevents.1718870367.HCIDC-SV-DMZ-ORC-NODE02.3859593.0
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 sha256:8cba151c5badc7ca45da43438d06248efafd6cd034ee4f1a1b80eabdda8fd91f
|
| 3 |
+
size 14915
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 450558212
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7deb87a23b2a0392f52299c39c4ef3ae054dad426d10c142724ff1f08fb4f2ec
|
| 3 |
size 450558212
|