Instructions to use gdevakumar/ins-llama-dora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gdevakumar/ins-llama-dora with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gdevakumar/ins-llama-dora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from gdevakumar/ins-llama-dora: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/gdevakumar/ins-llama-dora/resolve/main/tokenizer.json
- Command line
-
hf download hf://gdevakumar/ins-llama-dora/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/gdevakumar/ins-llama-dora/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- 3ff60ed573bc7527d4c64e25945da83265cd8b6ce48cb1e376b4de3e03481a89
- Size of remote file:
- 17.2 MB
- SHA256:
- b2bd0a0146f4397a889e5b0180ed27b62ed625551c68073d98b1d91d343aafb5
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