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
Download state.json from Harish2002/cli-lora-tinyllama: direct link, hf CLI and curl.
- Browser
- Download file 262 Bytes
-
https://huggingface.co/Harish2002/cli-lora-tinyllama/resolve/main/state.json
- Command line
-
hf download hf://Harish2002/cli-lora-tinyllama/state.json
-
curl -L -o state.json https://huggingface.co/Harish2002/cli-lora-tinyllama/resolve/main/state.json
262 Bytes
| { | |
| "_data_files": [ | |
| { | |
| "filename": "data-00000-of-00001.arrow" | |
| } | |
| ], | |
| "_fingerprint": "c9fae640c365530b", | |
| "_format_columns": null, | |
| "_format_kwargs": {}, | |
| "_format_type": "torch", | |
| "_output_all_columns": false, | |
| "_split": null | |
| } |