Instructions to use cuadron11/25 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cuadron11/25 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cuadron11/25")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("cuadron11/25") model = AutoModelForTokenClassification.from_pretrained("cuadron11/25") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 27
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 496299053
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bb194b05858770648aa661640472336a592f3a8fb742ef11bcf2f3e3cb9f9e6c
|
| 3 |
size 496299053
|
runs/May05_17-43-59_3d41accaab6f/events.out.tfevents.1683308652.3d41accaab6f.456.0
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:d1043b906dc6f81254245612b8a982ab15d9b95646adbd246a7372a11f867ddd
|
| 3 |
+
size 17104
|