Instructions to use language-ml-lab/classification-azb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use language-ml-lab/classification-azb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="language-ml-lab/classification-azb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("language-ml-lab/classification-azb") model = AutoModelForSequenceClassification.from_pretrained("language-ml-lab/classification-azb") - Notebooks
- Google Colab
- Kaggle
Commit ·
b803964
1
Parent(s): 7133c83
Update config.json
Browse files- config.json +2 -1
config.json
CHANGED
|
@@ -1,6 +1,7 @@
|
|
| 1 |
{
|
|
|
|
| 2 |
"architectures": [
|
| 3 |
-
"
|
| 4 |
],
|
| 5 |
"attention_probs_dropout_prob": 0.1,
|
| 6 |
"classifier_dropout": null,
|
|
|
|
| 1 |
{
|
| 2 |
+
"_name_or_path": "language-ml-lab/AzerBert",
|
| 3 |
"architectures": [
|
| 4 |
+
"BertForSequenceClassification"
|
| 5 |
],
|
| 6 |
"attention_probs_dropout_prob": 0.1,
|
| 7 |
"classifier_dropout": null,
|