Instructions to use Helsinki-NLP/opus-mt-fi-tw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-fi-tw 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-tw")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-fi-tw") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-fi-tw", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e01bdc734d471184b65f022176d0b1ab0c27d04a87971661c2720ff7cde7985
- Size of remote file:
- 305 MB
- SHA256:
- 6af4cd1869086a6bf78327be68d1be245e558584ea75b6c16a58667c2561f67b
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