Instructions to use WindyTranslate/translate-fi-bem with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-fi-bem 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="WindyTranslate/translate-fi-bem")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-fi-bem") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-fi-bem", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 86a73eedff1362b1a76a7c8d23b7833da680af9a6d50a71c5003f305fafc3c5a
- Size of remote file:
- 882 kB
- SHA256:
- 379f1e7c0f662b662b754d3f1e8c4c16ffead82a38aef0cb10c0a9d80677ff84
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