Instructions to use alanila/auto_train with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alanila/auto_train with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="alanila/auto_train")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("alanila/auto_train", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cea61f4495d039af6e4dbefc619297219301b38940eadc4cd997c1214b9414a2
- Size of remote file:
- 341 Bytes
- SHA256:
- 752fd07eb31b39ef616464da21544eeaf8f2bedceb63a0abe1ec6959a681e8b4
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