Instructions to use threite/test-trainer-push with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use threite/test-trainer-push with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="threite/test-trainer-push")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("threite/test-trainer-push") model = AutoModelForSequenceClassification.from_pretrained("threite/test-trainer-push", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a1ccd8749d40e6d29436ee49a59850ffbbd19b4e66508885c9ee0c19d6de8494
- Size of remote file:
- 438 MB
- SHA256:
- 84d98837e09435fa01cb4a8efb1bd8fa46656fafe09f193d2d8d305a8d9ab7cd
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