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:
- 4acd61237ba4376ca8cd4bc997589c322c7670fbcaedf5b110fca0db4f0eb1e2
- Size of remote file:
- 1.18 kB
- SHA256:
- beea14686e5949c8b8491bc93fc19426eebd7a30ccffa18268f643aed79267dc
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