Translation
Transformers
Safetensors
PyTorch
marian
text2text-generation
mt
sentence-piece
many2many
multilingual
allegro
laniqo
Instructions to use allegro/multislav-5lang with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use allegro/multislav-5lang 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="allegro/multislav-5lang")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("allegro/multislav-5lang") model = AutoModelForSeq2SeqLM.from_pretrained("allegro/multislav-5lang", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download multislav-5lang.svg from allegro/multislav-5lang: direct link, hf CLI and curl.
- Browser
- Download file 34.7 kB
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https://huggingface.co/allegro/multislav-5lang/resolve/main/multislav-5lang.svg
- Command line
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hf download hf://allegro/multislav-5lang/multislav-5lang.svg
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curl -L -o multislav-5lang.svg https://huggingface.co/allegro/multislav-5lang/resolve/main/multislav-5lang.svg
34.7 kB