Instructions to use stevehenderson/spartan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use stevehenderson/spartan with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b-Instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "stevehenderson/spartan") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from stevehenderson/spartan: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/stevehenderson/spartan/resolve/main/tokenizer.json
- Command line
-
hf download hf://stevehenderson/spartan/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/stevehenderson/spartan/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- 3f36a44b69bc1c75565f1b7ee0e905095b559901a6529787edd7c7a9d9b0e709
- Size of remote file:
- 17.2 MB
- SHA256:
- 8c8b2a40e8ddfebd6c167b3be7515f8d65743757ff82d74f5b98a0ceea8e1ab3
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