Instructions to use elopezlopez/xlnet-base-cased_fold_2_binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use elopezlopez/xlnet-base-cased_fold_2_binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="elopezlopez/xlnet-base-cased_fold_2_binary")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("elopezlopez/xlnet-base-cased_fold_2_binary") model = AutoModelForSequenceClassification.from_pretrained("elopezlopez/xlnet-base-cased_fold_2_binary", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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update model card README.md
b399df7 -
End of training
c0454ee -
Training in progress, epoch 1
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initial commit
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