Instructions to use plutoverse/LughaGen-v0-nllb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use plutoverse/LughaGen-v0-nllb 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="plutoverse/LughaGen-v0-nllb")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("plutoverse/LughaGen-v0-nllb") model = AutoModelForSeq2SeqLM.from_pretrained("plutoverse/LughaGen-v0-nllb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
LughaGen-v0-nllb
This is a translation model based on the NLLB (No Language Left Behind) architecture.
How to use
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
model_id = "your-username/your-repo-name" # Replace with your path
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForSeq2SeqLM.from_pretrained(model_id)
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