Instructions to use cuadron11/modelBsc62 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cuadron11/modelBsc62 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cuadron11/modelBsc62")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("cuadron11/modelBsc62") model = AutoModelForTokenClassification.from_pretrained("cuadron11/modelBsc62", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 25
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 sha256:01b82f1e4e5ac089ff70338354748d334fa4c70f83965de5aaa8c8076de8ed0b
|
| 3 |
size 496299053
|
runs/May05_19-28-43_8f340291d680/events.out.tfevents.1683314972.8f340291d680.304.0
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:f342535364330b434c2f4ec6fd3c513da10f080580f04ccc61ba37e5c9bccbb5
|
| 3 |
+
size 16150
|