Text Classification
Transformers
Vietnamese
English
llava_next_video
Chat
chemistry
biology
legal
music
code
Merge
text-generation-inference
art
Instructions to use bkbj/Atest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bkbj/Atest with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bkbj/Atest")# Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("bkbj/Atest") model = AutoModelForSequenceClassification.from_pretrained("bkbj/Atest", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Create tokenizer_config.json
Browse files- tokenizer_config.json +5 -0
tokenizer_config.json
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"do_lower_case": true,
|
| 3 |
+
"model_type": "bert",
|
| 4 |
+
"vocab_size": 30522
|
| 5 |
+
}
|