Instructions to use Codemaster67/Olmo-7b_250KQlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Codemaster67/Olmo-7b_250KQlora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Codemaster67/Olmo-7b-spe") model = PeftModel.from_pretrained(base_model, "Codemaster67/Olmo-7b_250KQlora") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Codemaster67/Olmo-7b_250KQlora: direct link, hf CLI and curl.
- Browser
- Download file 3.65 MB
-
https://huggingface.co/Codemaster67/Olmo-7b_250KQlora/resolve/main/tokenizer.json
- Command line
-
hf download hf://Codemaster67/Olmo-7b_250KQlora/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Codemaster67/Olmo-7b_250KQlora/resolve/main/tokenizer.json
3.65 MB
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