Instructions to use WindyTranslate/translate-ru-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-ru-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="WindyTranslate/translate-ru-fi")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-ru-fi") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-ru-fi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-ru-fi, with attribution and change statement
c1257b2 verified - Xet hash:
- 47156ca4fc01c41ac1a18fb82015c6783789bbfbb8c99afca1ce1f00d68bbc9b
- Size of remote file:
- 1.01 MB
- SHA256:
- bbcd460aed85bdbf7311e846d24c65fe90be9d1fe43bd6d90b5d64fe13e204d4
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