Instructions to use SamMikaelson/llama-3.2-1b-hermes-function-calling-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SamMikaelson/llama-3.2-1b-hermes-function-calling-lora with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SamMikaelson/llama-3.2-1b-hermes-function-calling-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from SamMikaelson/llama-3.2-1b-hermes-function-calling-lora: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/SamMikaelson/llama-3.2-1b-hermes-function-calling-lora/resolve/main/tokenizer.json
- Command line
-
hf download hf://SamMikaelson/llama-3.2-1b-hermes-function-calling-lora/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/SamMikaelson/llama-3.2-1b-hermes-function-calling-lora/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- 14d0e90967df9641ecf5c49b65145d2ea9f1e648cc9651c761e2a77cb1917ae7
- Size of remote file:
- 17.2 MB
- SHA256:
- a113717b4505b4f56b3bc1032540fa90b686c05b875e25bac0e1825441f38984
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