Instructions to use lysandre/tiny-distil with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lysandre/tiny-distil with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="lysandre/tiny-distil")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("lysandre/tiny-distil") model = AutoModel.from_pretrained("lysandre/tiny-distil", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f264ff6274882c6c3e9e02992772d0a72585196bd7901b5b65881fd285b08b7a
- Size of remote file:
- 18 kB
- SHA256:
- bbf7f2cc537fead712c9be799cbe4d6436d4bd3bc6cef597b8cdc33bc75b39e1
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