Instructions to use WindyTranslate/translate-sl-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-sl-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-sl-ru")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-sl-ru") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-sl-ru", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-sl-ru, with attribution and change statement
342345a verified - Xet hash:
- 5a0dfd60665af0f13baa13426d18240035a4283153adde4d432698dd97acc6d9
- Size of remote file:
- 817 kB
- SHA256:
- e2069c2c6bb0bbe13ff52b9a6dd46424dc6196737ab5da3796f5d98932562fba
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