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 adapter_model.safetensors from Harish2002/cli-lora-tinyllama: direct link, hf CLI and curl.
- Browser
- Download file 4.52 MB
-
https://huggingface.co/Harish2002/cli-lora-tinyllama/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://Harish2002/cli-lora-tinyllama/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/Harish2002/cli-lora-tinyllama/resolve/main/adapter_model.safetensors
4.52 MB
- Xet hash:
- f7c5dd8a72c2592e929c6296703769fa853124fbb14504f05a10e11f6a79d0ac
- Size of remote file:
- 4.52 MB
- SHA256:
- e37f9f26baf3d204058ed21c01c610823fe55b6d4311bff30df5b9ca44213531
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