Instructions to use sabhashanki/andro-micro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sabhashanki/andro-micro with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sabhashanki/andro-micro")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sabhashanki/andro-micro", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from sabhashanki/andro-micro: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
-
https://huggingface.co/sabhashanki/andro-micro/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://sabhashanki/andro-micro@refs/pr/1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/sabhashanki/andro-micro/resolve/refs%2Fpr%2F1/tokenizer.json
2.11 MB
- Xet hash:
- 629829aa44b5e649bf32ce9c645c9e91ad59ba7c6a75e0259e0c6922e4138d3c
- Size of remote file:
- 2.11 MB
- SHA256:
- a05107fed694679248bb77df2482e432bb7fadb572be3f88575308f9b84872fa
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