Instructions to use WindyTranslate/translate-cel-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-cel-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-cel-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-cel-en") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-cel-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b895a7e2fc2065c58f4387d9c013a4b1776f0543b5079f592313d1032f22752f
- Size of remote file:
- 806 kB
- SHA256:
- 478def562877e8664b0f4e28f183bbac163d319f0533364858b92e4cf13b636b
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