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
| { | |
| "citation": "", | |
| "description": "", | |
| "features": { | |
| "input_ids": { | |
| "feature": { | |
| "dtype": "int32", | |
| "_type": "Value" | |
| }, | |
| "_type": "Sequence" | |
| }, | |
| "attention_mask": { | |
| "feature": { | |
| "dtype": "int8", | |
| "_type": "Value" | |
| }, | |
| "_type": "Sequence" | |
| } | |
| }, | |
| "homepage": "", | |
| "license": "" | |
| } |