Instructions to use WindyTranslate/translate-sl-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-sl-fr 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-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-sl-fr") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-sl-fr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-sl-fr, with attribution and change statement
4c5c3c7 verified - Xet hash:
- 11602d9f976daae8f9796cab236b0a5b8d050a54a57aad2e9464f7440e35d383
- Size of remote file:
- 818 kB
- SHA256:
- 571dc9b3f417e228b495588a1d0a3b4af4b97bb481e17f036588b2587c389ef3
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