Instructions to use WindyTranslate/translate-sla-sla with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-sla-sla 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-sla-sla")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-sla-sla") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-sla-sla", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-sla-sla, with attribution and change statement
509974d verified - Xet hash:
- 788444687780520fbb74d16433c1a59591073a31894b3ea2f60928b0e0af1191
- Size of remote file:
- 877 kB
- SHA256:
- fcbd7df0c25a4aabb2084a53d0786997b65de4567e4b21139af18efac0c91616
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