Instructions to use TehranNLP-org/xlnet-base-cased-avg-cola-2e-5-21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TehranNLP-org/xlnet-base-cased-avg-cola-2e-5-21 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TehranNLP-org/xlnet-base-cased-avg-cola-2e-5-21")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TehranNLP-org/xlnet-base-cased-avg-cola-2e-5-21") model = AutoModelForSequenceClassification.from_pretrained("TehranNLP-org/xlnet-base-cased-avg-cola-2e-5-21") - Notebooks
- Google Colab
- Kaggle
No model card
- Downloads last month
- 4