Instructions to use hemantsummit/layoutlmv3-document-classification-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hemantsummit/layoutlmv3-document-classification-v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hemantsummit/layoutlmv3-document-classification-v3")# Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("hemantsummit/layoutlmv3-document-classification-v3") model = AutoModelForSequenceClassification.from_pretrained("hemantsummit/layoutlmv3-document-classification-v3", device_map="auto") - 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 sha256:47a0c42104439343a02e9fc78b14cfaa2af393fed7936eea05c8fc34fee1fd32
|
| 3 |
+
size 503719264
|