Instructions to use mpasila/JP-EN-Translator-1K-Steps-V2-LoRA-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mpasila/JP-EN-Translator-1K-Steps-V2-LoRA-7B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("augmxnt/shisa-base-7b-v1") model = PeftModel.from_pretrained(base_model, "mpasila/JP-EN-Translator-1K-Steps-V2-LoRA-7B") - Transformers
How to use mpasila/JP-EN-Translator-1K-Steps-V2-LoRA-7B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mpasila/JP-EN-Translator-1K-Steps-V2-LoRA-7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Ctrl+K