Instructions to use patrickvonplaten/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use patrickvonplaten/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="patrickvonplaten/test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("patrickvonplaten/test") model = AutoModelForSequenceClassification.from_pretrained("patrickvonplaten/test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1465c9146fbfd9416af095cd881f7c83bdb6fa94b49c4445c60734fd135197e4
- Size of remote file:
- 433 MB
- SHA256:
- 52a0ce4dbe46122d71fb89d5d4a6ad07bd60bb4c4394197bf5ccc21ad7fa7856
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