Instructions to use arnastofnun/Qwen3-4B-wmt26-AMI-en-is-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use arnastofnun/Qwen3-4B-wmt26-AMI-en-is-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("./merged_qwen3_4b_icelandic") model = PeftModel.from_pretrained(base_model, "arnastofnun/Qwen3-4B-wmt26-AMI-en-is-lora") - Transformers
How to use arnastofnun/Qwen3-4B-wmt26-AMI-en-is-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="arnastofnun/Qwen3-4B-wmt26-AMI-en-is-lora")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("arnastofnun/Qwen3-4B-wmt26-AMI-en-is-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- 48838d5b51fea4947303b16d185a305414921f86c50e603dee30b0de881abd12
- Size of remote file:
- 11.4 MB
- SHA256:
- 1c14d83d6c1671eb46e23012b054cfbdb4b9ec34843a9279af21d36836f1c9f6
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