Instructions to use 1glabs/layoutlmv3-document-classificationTrial3yc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 1glabs/layoutlmv3-document-classificationTrial3yc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="1glabs/layoutlmv3-document-classificationTrial3yc")# Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("1glabs/layoutlmv3-document-classificationTrial3yc") model = AutoModelForSequenceClassification.from_pretrained("1glabs/layoutlmv3-document-classificationTrial3yc") - 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 sha256:54c3fa351d3a1b319efc0d83dd10744a384c50b3335b0e81f64bdcd8b9b03c00
|
| 3 |
+
size 503725416
|