Instructions to use karakaka/segmentation-pydec-segmenter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karakaka/segmentation-pydec-segmenter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="karakaka/segmentation-pydec-segmenter")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("karakaka/segmentation-pydec-segmenter") model = AutoModelForTokenClassification.from_pretrained("karakaka/segmentation-pydec-segmenter") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 448155012
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bf6cbe80ecfe712057be8d55e2172752d0b652c0f660a36eec635d6655bf150e
|
| 3 |
size 448155012
|