Instructions to use WindyTranslate/translate-tpi-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-tpi-en 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-tpi-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-tpi-en") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-tpi-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-tpi-en, with attribution and change statement
494c418 verified - Xet hash:
- f7c7830a8813ae024dbdcf87f5aa858c440edbe7000fa31f91731342775df0e0
- Size of remote file:
- 655 kB
- SHA256:
- 4e4180e00af173fc6ca32c34359132b33bfb00b208e853cfd20fd3175a96c73f
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