Instructions to use SingularityUS/test_model_upload with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SingularityUS/test_model_upload with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SingularityUS/test_model_upload")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SingularityUS/test_model_upload") model = AutoModelForSequenceClassification.from_pretrained("SingularityUS/test_model_upload") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fd97c2aba3cbef4cdcb79f1a66639f5dc963fa015126cf4c722f48b404e5b21f
- Size of remote file:
- 268 MB
- SHA256:
- fc7720363a88938d1ca7f1420d6bcba2b6b53a8eb40d5e0d447d72cce20e875f
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