Translation
Transformers
Safetensors
text-generation-inference
unsloth
qwen3
trl
omnitranslate
lora
adapter
Instructions to use MihaiPopa-1/OmniTranslate-1.0-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MihaiPopa-1/OmniTranslate-1.0-LoRA with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="MihaiPopa-1/OmniTranslate-1.0-LoRA")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MihaiPopa-1/OmniTranslate-1.0-LoRA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use MihaiPopa-1/OmniTranslate-1.0-LoRA with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for MihaiPopa-1/OmniTranslate-1.0-LoRA to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for MihaiPopa-1/OmniTranslate-1.0-LoRA to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for MihaiPopa-1/OmniTranslate-1.0-LoRA to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="MihaiPopa-1/OmniTranslate-1.0-LoRA", max_seq_length=2048, )
Ctrl+K