Instructions to use WindyTranslate/translate-lu-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-lu-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-lu-fi")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-lu-fi") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-lu-fi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-lu-fi, with attribution and change statement
a9e266c verified - Xet hash:
- c97d32aca60338b975bcf88c4e6e33f0290649d752951ede48d192b0d1e2b3ce
- Size of remote file:
- 829 kB
- SHA256:
- 51a1cf69c24d57453bbea33a9d8252d6afc86e0c45769d66859c860a75851107
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