Instructions to use cuadron11/modelBeto6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cuadron11/modelBeto6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cuadron11/modelBeto6")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("cuadron11/modelBeto6") model = AutoModelForTokenClassification.from_pretrained("cuadron11/modelBeto6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 26
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 sha256:970d047b3ee1630f0f4e8f64a8cc6190b21aaf3adb4ed148a95ec5fa6ed5cea4
|
| 3 |
size 437128685
|
runs/Apr29_09-49-12_a6bde1e79098/events.out.tfevents.1682761769.a6bde1e79098.215.0
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 sha256:54730a159db7a15387171dab79c68a892acfa0f8983a2281d682b30a7e4eab63
|
| 3 |
+
size 16606
|