Instructions to use WeightWatcher/albert-large-v2-cola with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WeightWatcher/albert-large-v2-cola with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="WeightWatcher/albert-large-v2-cola")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("WeightWatcher/albert-large-v2-cola") model = AutoModelForSequenceClassification.from_pretrained("WeightWatcher/albert-large-v2-cola", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Updated model card to reflect new owner
c6f338b
-
Added tokenizer configs
c8abef0 -
Changed the dataset id
1738968 -
Added eval results
e669f3d -
Added a model and config
edf38de -
Added a model card
4f489ba -
initial commit
1d17477