Translation
Transformers
Safetensors
PyTorch
marian
text2text-generation
mt
sentence-piece
many2many
multilingual
allegro
laniqo
Instructions to use allegro/multislav-4slav with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use allegro/multislav-4slav 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-4slav")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("allegro/multislav-4slav") model = AutoModelForSeq2SeqLM.from_pretrained("allegro/multislav-4slav", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download multi4-data.svg from allegro/multislav-4slav: direct link, hf CLI and curl.
- Browser
- Download file 17.6 kB
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https://huggingface.co/allegro/multislav-4slav/resolve/main/multi4-data.svg
- Command line
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hf download hf://allegro/multislav-4slav/multi4-data.svg
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curl -L -o multi4-data.svg https://huggingface.co/allegro/multislav-4slav/resolve/main/multi4-data.svg
17.6 kB