Instructions to use rv2307/quora_duplicate_distilbert_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rv2307/quora_duplicate_distilbert_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rv2307/quora_duplicate_distilbert_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rv2307/quora_duplicate_distilbert_model") model = AutoModelForSequenceClassification.from_pretrained("rv2307/quora_duplicate_distilbert_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
| 1 |
distilbert-base-uncased Quora Duplicate Pair Detection
|
| 2 |
|
| 3 |
This model is fine tuned of version of distilbert-base-uncased on quora dataset for detecting duplicate sentences or questions.
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
---
|
| 4 |
distilbert-base-uncased Quora Duplicate Pair Detection
|
| 5 |
|
| 6 |
This model is fine tuned of version of distilbert-base-uncased on quora dataset for detecting duplicate sentences or questions.
|