Instructions to use bachephysicdun/hw3-basic-textClassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bachephysicdun/hw3-basic-textClassifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bachephysicdun/hw3-basic-textClassifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bachephysicdun/hw3-basic-textClassifier") model = AutoModelForSequenceClassification.from_pretrained("bachephysicdun/hw3-basic-textClassifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bbf42d70fb7677a9ec71bfc97f3a626e4d74752669e0a658a5ea4c4c080630b4
- Size of remote file:
- 498 MB
- SHA256:
- eb04d0b430e8c1b9aa424457c261d41ce9ba7ca405e2c9c6fa8604c6998a95af
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