Instructions to use Shobhank-iiitdwd/Distilroberta-base-QQP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shobhank-iiitdwd/Distilroberta-base-QQP with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Shobhank-iiitdwd/Distilroberta-base-QQP")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Shobhank-iiitdwd/Distilroberta-base-QQP") model = AutoModelForSequenceClassification.from_pretrained("Shobhank-iiitdwd/Distilroberta-base-QQP", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
875ab1f | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:81ee85c07ec9df3edd54b02c4fc70881ee5e1903d0d1ab0b79e3eb4e876cf816
size 328480487
|