Instructions to use WindyTranslate/translate-rn-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-rn-ru 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-rn-ru")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-rn-ru") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-rn-ru", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-rn-ru, with attribution and change statement
585acff verified - Xet hash:
- 0537d6efbdd17780cc374c50270e6a45ddf9ffbc172ff209d856bcc7c997108a
- Size of remote file:
- 302 kB
- SHA256:
- dcc6270d04b56fa7db54091ef9c55836254413004842c48f268a802b1ae50040
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