Instructions to use wallacenpj/checkpoint-500 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wallacenpj/checkpoint-500 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wallacenpj/checkpoint-500")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wallacenpj/checkpoint-500") model = AutoModelForSequenceClassification.from_pretrained("wallacenpj/checkpoint-500", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload DebertaV2ForSequenceClassification
2d48f37 -
initial commit
d1412a6