Instructions to use Helsinki-NLP/opus-mt-cs-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-cs-fi 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-cs-fi")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-cs-fi") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-cs-fi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc32ec5c0a938f682c458cc53216a9db0c43ce96763e502cd648ba6a0bd7c241
- Size of remote file:
- 300 MB
- SHA256:
- 1d3836fff5fcce3b6d69e4b9ed388ca7d446da0f74caa0693d7a765b98588315
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