Instructions to use cuadron11/5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cuadron11/5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cuadron11/5")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("cuadron11/5") model = AutoModelForTokenClassification.from_pretrained("cuadron11/5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 23
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 437128685
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ddf5af7c482cf30410abe7971bf83afb625e956b126c11c3831dd03f3788321f
|
| 3 |
size 437128685
|
runs/May05_17-44-18_266ffe17e967/events.out.tfevents.1683308672.266ffe17e967.1252.0
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 sha256:8f7375b8f7679b43d1d47292c645da3184efef9a7a46d7ee1b6adae59ff2cdbe
|
| 3 |
+
size 15198
|