Instructions to use WindyTranslate/translate-sh-eo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-sh-eo 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-sh-eo")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-sh-eo") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-sh-eo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-sh-eo, with attribution and change statement
384b46e verified - Xet hash:
- 23809d214455f40aaf13a9226d058bed4a1ae63ad570ec0afe4e48ea790c26f9
- Size of remote file:
- 303 kB
- SHA256:
- 9802f1f7b33cb22b7591eea8a260c8d97faf4d06e945a1c2e4697193928aaae4
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