Instructions to use WindyTranslate/translate-tll-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-tll-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-tll-fi")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-tll-fi") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-tll-fi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-tll-fi, with attribution and change statement
d5b72f6 verified - Xet hash:
- 3f95fd61fa2b355b6f1e2db782feade96121f50d10767e06a45d5a3c8696ecfb
- Size of remote file:
- 828 kB
- SHA256:
- b6605d3ca04b78a71be6ff07dc677c86ef9d3e7e3e03e9ba8c1f55807085ad65
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