Instructions to use michaelbenayoun/llama-2-tiny-16layers-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michaelbenayoun/llama-2-tiny-16layers-random with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="michaelbenayoun/llama-2-tiny-16layers-random")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("michaelbenayoun/llama-2-tiny-16layers-random") model = AutoModel.from_pretrained("michaelbenayoun/llama-2-tiny-16layers-random", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from michaelbenayoun/llama-2-tiny-16layers-random: direct link, hf CLI and curl.
- Browser
- Download file 1.84 MB
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https://huggingface.co/michaelbenayoun/llama-2-tiny-16layers-random/resolve/main/tokenizer.json
- Command line
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hf download hf://michaelbenayoun/llama-2-tiny-16layers-random/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/michaelbenayoun/llama-2-tiny-16layers-random/resolve/main/tokenizer.json
1.84 MB
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