Instructions to use WindyTranslate/translate-pap-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-pap-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-pap-fi")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-pap-fi") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-pap-fi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-pap-fi, with attribution and change statement
8696769 verified - Xet hash:
- d62572af6d9dee73af1538687ed7240b0558028e286b3391ddbd281f3d8d57c4
- Size of remote file:
- 824 kB
- SHA256:
- e79fc1d0c0bcaca5872b2b8243ecf88084fc7500497074d03871cfa446f20fe5
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