Instructions to use cuadron11/modelBsc5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cuadron11/modelBsc5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cuadron11/modelBsc5")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("cuadron11/modelBsc5") model = AutoModelForTokenClassification.from_pretrained("cuadron11/modelBsc5", 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 496299053
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3fb8b8a60db054a3877c025d7505f4387066fb13ec264b28d7d83df7d1559578
|
| 3 |
size 496299053
|
runs/May05_15-52-30_6b556a238b58/events.out.tfevents.1683301966.6b556a238b58.867.0
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 sha256:5165a583727b4b16801c9080f0310b90b3a987d61c6c97fa0e64f1d37e44dccd
|
| 3 |
+
size 15203
|