Instructions to use pmorelr/layoutlm-funsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pmorelr/layoutlm-funsd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="pmorelr/layoutlm-funsd")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("pmorelr/layoutlm-funsd") model = AutoModelForTokenClassification.from_pretrained("pmorelr/layoutlm-funsd") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 15
Browse files
logs/events.out.tfevents.1673446845.Pedros-MacBook-Air.local.66883.0
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 sha256:5b5e1ab94ae858a73d36d22eecf02ee127e384f7129d04eef56369e0dc5f1d7f
|
| 3 |
+
size 13775
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 450603685
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a767c2009fdd36c0d714cc55f034a42e256949962a472b26f027e0e04da969de
|
| 3 |
size 450603685
|