Instructions to use smangrul/tinyllama_lora_adcopy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use smangrul/tinyllama_lora_adcopy with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T") model = PeftModel.from_pretrained(base_model, "smangrul/tinyllama_lora_adcopy") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from smangrul/tinyllama_lora_adcopy: direct link, hf CLI and curl.
- Browser
- Download file 1.84 MB
-
https://huggingface.co/smangrul/tinyllama_lora_adcopy/resolve/main/tokenizer.json
- Command line
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hf download hf://smangrul/tinyllama_lora_adcopy/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/smangrul/tinyllama_lora_adcopy/resolve/main/tokenizer.json
1.84 MB
File too large to display, you can check the raw version instead.