Instructions to use PeanutCoding/Layouttest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PeanutCoding/Layouttest with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="PeanutCoding/Layouttest")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("PeanutCoding/Layouttest") model = AutoModelForTokenClassification.from_pretrained("PeanutCoding/Layouttest") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1
Browse files
logs/events.out.tfevents.1749144714.phi-ThinkPad-T490
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ef1b5807c67dcdfd7d842ebe2882495be4cd11d2e95b61944d22f04f291626eb
|
| 3 |
+
size 1525
|
logs/events.out.tfevents.1749144867.phi-ThinkPad-T490
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f66cc54264e9c9ea14ed9d67031a211229f7dde0fc60d86d6c59e128d8183dd0
|
| 3 |
+
size 7359
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 450675108
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8594dbca3a7581bc0ae15863ee1d102a61e70c53e2fe76b518887fec11261827
|
| 3 |
size 450675108
|