Text Generation
PEFT
Safetensors
qlora
tinyllama
cli
command-line
fine-tuning
low-resource
internship
fenrir
Instructions to use Harish2002/cli-lora-tinyllama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Harish2002/cli-lora-tinyllama 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, "Harish2002/cli-lora-tinyllama") - Notebooks
- Google Colab
- Kaggle
File size: 262 Bytes
952fd5a | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"_data_files": [
{
"filename": "data-00000-of-00001.arrow"
}
],
"_fingerprint": "c9fae640c365530b",
"_format_columns": null,
"_format_kwargs": {},
"_format_type": "torch",
"_output_all_columns": false,
"_split": null
} |