Instructions to use cuadron11/modelBsc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cuadron11/modelBsc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cuadron11/modelBsc")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("cuadron11/modelBsc") model = AutoModelForTokenClassification.from_pretrained("cuadron11/modelBsc") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 24
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 sha256:2c8e58dcd2a11fc6c08fbc45437aea7bb07611b2c49b651c0bd9f31d7b395056
|
| 3 |
size 496299053
|
runs/Apr27_18-22-42_a3b8653ab5fc/events.out.tfevents.1682619770.a3b8653ab5fc.211.2
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 sha256:59de5497adce7e518a6c1429564eda9ddb06f58b438dba7df9994491627013f5
|
| 3 |
+
size 15711
|