Instructions to use CodeLifeCL/my-cool-trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodeLifeCL/my-cool-trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CodeLifeCL/my-cool-trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CodeLifeCL/my-cool-trainer") model = AutoModelForSequenceClassification.from_pretrained("CodeLifeCL/my-cool-trainer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 55f89896e83215813b2be786a68fd76f43132c75be5b197725612fca39b47832
- Size of remote file:
- 541 MB
- SHA256:
- f2331f144af3f8f0e2d3d95226db55aa6b55df083bd52a664bd484eba8b8451b
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