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Instructions to use AlekseyCalvin/Lyrical_MT_ru2en_2c_Gemma3n_e4b_orpo_r32_adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AlekseyCalvin/Lyrical_MT_ru2en_2c_Gemma3n_e4b_orpo_r32_adapter with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("unsloth/gemma-3n-E4B-it") model = PeftModel.from_pretrained(base_model, "AlekseyCalvin/Lyrical_MT_ru2en_2c_Gemma3n_e4b_orpo_r32_adapter") - Transformers
How to use AlekseyCalvin/Lyrical_MT_ru2en_2c_Gemma3n_e4b_orpo_r32_adapter 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="AlekseyCalvin/Lyrical_MT_ru2en_2c_Gemma3n_e4b_orpo_r32_adapter")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AlekseyCalvin/Lyrical_MT_ru2en_2c_Gemma3n_e4b_orpo_r32_adapter", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use AlekseyCalvin/Lyrical_MT_ru2en_2c_Gemma3n_e4b_orpo_r32_adapter 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 AlekseyCalvin/Lyrical_MT_ru2en_2c_Gemma3n_e4b_orpo_r32_adapter 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 AlekseyCalvin/Lyrical_MT_ru2en_2c_Gemma3n_e4b_orpo_r32_adapter to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for AlekseyCalvin/Lyrical_MT_ru2en_2c_Gemma3n_e4b_orpo_r32_adapter to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="AlekseyCalvin/Lyrical_MT_ru2en_2c_Gemma3n_e4b_orpo_r32_adapter", max_seq_length=2048, )
- Xet hash:
- 6ab75a69ea2171118607a7a91658b638a7047b0f8746d587ac51d44b059b2837
- Size of remote file:
- 1.38 kB
- SHA256:
- 35e9ad20d4893f9f01182366cdf6ad0012a1e3a62a72938d4b700be72801692f
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