Instructions to use WindyTranslate/translate-en-mkh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-en-mkh 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-en-mkh")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-en-mkh") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-en-mkh", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec08aa8cee540b36f45c13da59156ea2c2d67c036ca126b1f838a3cd85110a17
- Size of remote file:
- 809 kB
- SHA256:
- e2fa1f6414e3bfacd3c547102558b4e1b69c9cd498f8d2c31403aff1383e3865
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