Instructions to use Lapisbird/Llama-adaLR-appendix-model-codi_intermediate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lapisbird/Llama-adaLR-appendix-model-codi_intermediate with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Lapisbird/Llama-adaLR-appendix-model-codi_intermediate") model = AutoModel.from_pretrained("Lapisbird/Llama-adaLR-appendix-model-codi_intermediate", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from Lapisbird/Llama-adaLR-appendix-model-codi_intermediate: direct link, hf CLI and curl.
- Browser
- Download file 153 Bytes
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https://huggingface.co/Lapisbird/Llama-adaLR-appendix-model-codi_intermediate/resolve/main/README.md
- Command line
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hf download hf://Lapisbird/Llama-adaLR-appendix-model-codi_intermediate/README.md
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curl -L -o README.md https://huggingface.co/Lapisbird/Llama-adaLR-appendix-model-codi_intermediate/resolve/main/README.md
153 Bytes
metadata
library_name: transformers
license: llama3.2
base_model: meta-llama/Llama-3.2-1B-Instruct
datasets:
- whynlp/gsm8k-aug
tags: []
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