Instructions to use WindyTranslate/translate-zle-zle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-zle-zle 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-zle-zle")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-zle-zle") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-zle-zle", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-zle-zle, with attribution and change statement
7d35fbf verified - Xet hash:
- 77b23d50035676f18fd0b58788bddbc438c362a14899b6063f66475835b8358b
- Size of remote file:
- 1.01 MB
- SHA256:
- 078365d63a4bdb0d1c23c789da17f504b4f2f612f5ef4c834e3ecf58d70754d7
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