Instructions to use WindyTranslate/translate-inc-inc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-inc-inc 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-inc-inc")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-inc-inc") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-inc-inc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a90f9791ee6ffb01cceff14922338e1f6e0c98c44e9a1437c79dd89bd2c24494
- Size of remote file:
- 1.06 MB
- SHA256:
- 15dfb5af7b94714c5707ed0a3db02f4e9dc77153b0b215108c1e06152b8ff244
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