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:
- 98d774e37d92c2aa358f9fbe440449f1de9097a705b49ecd10f55f3a5df292bb
- Size of remote file:
- 5.11 kB
- SHA256:
- d77410e9eac835ad004405ea342bfeffe93a8e22d454a469fdd1745dcbd3b565
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