Text Classification
PEFT
Safetensors
English
French
unsloth
lora
Multi-Task
Sentiment Analysis
Translation (English to French)
Instructions to use BEncoderRT/tinyllama-multitask-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use BEncoderRT/tinyllama-multitask-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T") model = PeftModel.from_pretrained(base_model, "BEncoderRT/tinyllama-multitask-lora") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download adapter_model.safetensors from BEncoderRT/tinyllama-multitask-lora: direct link, hf CLI and curl.
- Browser
- Download file 4.52 MB
-
https://huggingface.co/BEncoderRT/tinyllama-multitask-lora/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://BEncoderRT/tinyllama-multitask-lora/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/BEncoderRT/tinyllama-multitask-lora/resolve/main/adapter_model.safetensors
4.52 MB
- Xet hash:
- 1ea96a3ae86332873553108f1db94a2af8e6a4cf5bd14f8d24ab642e9deef647
- Size of remote file:
- 4.52 MB
- SHA256:
- 1ef7ff99e86f417af4f0804b3d06f8871fb4c0a97473398d969b38327ac180ea
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.