Instructions to use WindyTranslate/translate-fi-pag with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-fi-pag 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-pag")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-fi-pag") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-fi-pag", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 004733fb7ba4fb60e628c3fa996e47bd07b9dd4d4079a48f595e7bbda1d613e3
- Size of remote file:
- 888 kB
- SHA256:
- 9e21d5979468ce8f2fe483a4716595463ea796317bcbee1a2dc5a9d1c0137df0
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