Text Generation
PEFT
Safetensors
English
text generation
multitask
email
stories
qa
summarization
chat
conversational
Instructions to use GilbertAkham/gilbert-qwen-multitask-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use GilbertAkham/gilbert-qwen-multitask-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen1.5-1.8B-Chat") model = PeftModel.from_pretrained(base_model, "GilbertAkham/gilbert-qwen-multitask-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 99af823e36a7ea606a411c316fdadc7d378f2c426962936f4654e7452d0f6dee
- Size of remote file:
- 6.23 kB
- SHA256:
- 9fd10e5ed551017049c6cc19a2e941d32458df143b0746120dca9e19d5a7d10d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.