Instructions to use Davlan/oyo-bert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Davlan/oyo-bert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Davlan/oyo-bert-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Davlan/oyo-bert-base") model = AutoModelForMaskedLM.from_pretrained("Davlan/oyo-bert-base") - Notebooks
- Google Colab
- Kaggle
Upload events.out.tfevents.1692548393.n-978663a6-w-0.1.0.v2
Browse files
events.out.tfevents.1692548393.n-978663a6-w-0.1.0.v2
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:aec508d86440ac6b75cc9cb96eb946f6370844e85ba2d3ae5bc459542fd79d7a
|
| 3 |
+
size 41210
|