Instructions to use ChangeIsKey/change-type-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ChangeIsKey/change-type-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ChangeIsKey/change-type-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ChangeIsKey/change-type-classifier") model = AutoModelForSequenceClassification.from_pretrained("ChangeIsKey/change-type-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4ad88bd8eec40495a473a5fdefbdbf1b47eb5a1bbb0a8dc3f5fad07d2ebca229
- Size of remote file:
- 1.42 GB
- SHA256:
- 2a41ef0cf2c821ae3ecec9085705fcd1bb867baffa2c0c0dfa20427cc8aba5cf
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