Instructions to use akdeniz27/bert-turkish-text-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use akdeniz27/bert-turkish-text-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="akdeniz27/bert-turkish-text-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("akdeniz27/bert-turkish-text-classification") model = AutoModelForSequenceClassification.from_pretrained("akdeniz27/bert-turkish-text-classification") - Notebooks
- Google Colab
- Kaggle
Commit ·
ec73624
1
Parent(s): 55f15f1
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:51b4b6cccbc0e9e553d24ca0bdf74518fe7e8b6344a9e93b8a7ae151182bde8f
|
| 3 |
+
size 442504276
|