Instructions to use aizenSosuke/SQL-PDFclassificationModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aizenSosuke/SQL-PDFclassificationModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aizenSosuke/SQL-PDFclassificationModel")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aizenSosuke/SQL-PDFclassificationModel") model = AutoModelForSequenceClassification.from_pretrained("aizenSosuke/SQL-PDFclassificationModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,4 +1,4 @@
|
|
| 1 |
---
|
| 2 |
license: apache-2.0
|
| 3 |
---
|
| 4 |
-
This is classification model trained on RoBERTa base language model to classify a given text input into sql or docs
|
|
|
|
| 1 |
---
|
| 2 |
license: apache-2.0
|
| 3 |
---
|
| 4 |
+
This is classification model trained on RoBERTa base language model to classify a given text input into sql or docs. For a given question , if it classifies '0' it is of docs type and if it classifies as '1' , it is of sql type
|