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 15
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 sha256:07363f4bc5541bfa8d3bc225085733500d08160b8b0a4b0569c6becb1be17c8f
|
| 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:b3c82179e28f851428fc50929da08fd378e543c19bebc5d9de9d9ef5384b5765
|
| 3 |
+
size 11273
|