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:
- a01658a250900a54a59436c1b033cc6389a4a76b76f471ab90159f34b371852b
- Size of remote file:
- 433 MB
- SHA256:
- 1d440d3abb979bd9a0dba1557ca7005471a9aff29d31888c0010d520fa6b0fce
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