Instructions to use WindyTranslate/translate-inc-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-inc-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-inc-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-inc-en") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-inc-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a64cd68ef29a5221539e39e9c10dcb4585bf2f0506794f66385a2f7635a906ab
- Size of remote file:
- 969 kB
- SHA256:
- 80db906f08e286b96cff31fa4db019cc72e7b772849dcfc93cd1508765062d62
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