Instructions to use PeanutCoding/Layoutlmlargetest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PeanutCoding/Layoutlmlargetest with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="PeanutCoding/Layoutlmlargetest")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("PeanutCoding/Layoutlmlargetest") model = AutoModelForTokenClassification.from_pretrained("PeanutCoding/Layoutlmlargetest") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 385
Browse files
logs/events.out.tfevents.1749031283.phi-ThinkPad-T490
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:af38bebedcd3f38bb19ffb83dc56c74e7d19fe5dc92ae3b069e979774a14ec7e
|
| 3 |
+
size 4763
|
logs/events.out.tfevents.1749157967.phi-ThinkPad-T490
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7c045912671e277944219c1adbb2b762c494de58cdd4770e64b42c473e58b782
|
| 3 |
+
size 8238
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1357578340
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:56d8b43983d9f8bdee62c4ba17d24d78fc0326ae28e282946d463fa64f40b414
|
| 3 |
size 1357578340
|