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
Download tokenizer.json from Lapisbird/Llama-adaLR-appendix-model-codi_intermediate: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/Lapisbird/Llama-adaLR-appendix-model-codi_intermediate/resolve/main/tokenizer.json
- Command line
-
hf download hf://Lapisbird/Llama-adaLR-appendix-model-codi_intermediate/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Lapisbird/Llama-adaLR-appendix-model-codi_intermediate/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- 3fcfa7173a8f01460e2508ed3296d3560c700b4e13064858bcc2600cd29564ce
- Size of remote file:
- 17.2 MB
- SHA256:
- dce5d0014e8baa9a36b4a95f735256c6ff770fe4bdae817f687cd3e625f4b464
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