Text Generation
PEFT
Safetensors
English
tinyllama
llama
qlora
fine-tuning
motorcycle-repair
question-answering
generated:text-generation-code:pipeline_example
conversational
Instructions to use cahlen/tinyllama-motorcycle-repair-qa-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cahlen/tinyllama-motorcycle-repair-qa-adapter with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v1.0") model = PeftModel.from_pretrained(base_model, "cahlen/tinyllama-motorcycle-repair-qa-adapter") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from cahlen/tinyllama-motorcycle-repair-qa-adapter: direct link, hf CLI and curl.
- Browser
- Download file 3.62 MB
-
https://huggingface.co/cahlen/tinyllama-motorcycle-repair-qa-adapter/resolve/main/tokenizer.json
- Command line
-
hf download hf://cahlen/tinyllama-motorcycle-repair-qa-adapter/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/cahlen/tinyllama-motorcycle-repair-qa-adapter/resolve/main/tokenizer.json
3.62 MB
File too large to display, you can check the raw version instead.