Instructions to use SkanderSassi/invoice-recognizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SkanderSassi/invoice-recognizer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="SkanderSassi/invoice-recognizer")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("SkanderSassi/invoice-recognizer") model = AutoModelForTokenClassification.from_pretrained("SkanderSassi/invoice-recognizer") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bd95c5f727910eebb25c620e6cbf4f6248b25388494304534c06089d791284e0
|
| 3 |
+
size 503842304
|