Instructions to use Helsinki-NLP/opus-mt-fi-cs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-fi-cs 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="Helsinki-NLP/opus-mt-fi-cs")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-fi-cs") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-fi-cs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 20cb81d59ece8347c0330ce07dd31d0de1a4c38aecc37fd4541e65b319ceeaff
- Size of remote file:
- 300 MB
- SHA256:
- 404375ad87406542319f39788fb17c6bd448af3f2c00a703297d6567f2cc7b74
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