Instructions to use textattack/albert-base-v2-QQP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use textattack/albert-base-v2-QQP with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="textattack/albert-base-v2-QQP")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("textattack/albert-base-v2-QQP") model = AutoModelForSequenceClassification.from_pretrained("textattack/albert-base-v2-QQP", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
da2d9ca | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:9dd8fd311699ec400275e4ad7f768b3326b8bbefe01f974482a58402305cd72d
size 46747112
|