Instructions to use Buseak/canine_vowelizer_0701 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Buseak/canine_vowelizer_0701 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Buseak/canine_vowelizer_0701")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Buseak/canine_vowelizer_0701") model = AutoModelForTokenClassification.from_pretrained("Buseak/canine_vowelizer_0701", device_map="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
runs/Jan07_15-41-08_d61a3037cffa/events.out.tfevents.1704642077.d61a3037cffa.696.0
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 sha256:9c42860f1e9811ab847846c44b592ac3eb798c7ef36390c8480cf071c8d8b686
|
| 3 |
+
size 27033
|