Instructions to use WindyTranslate/translate-mkh-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-mkh-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-mkh-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-mkh-en") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-mkh-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-mkh-en, with attribution and change statement
e3ac906 verified - Xet hash:
- 15b7aad39575f7082a02ce860bd67ad66f6e1545d80e576a801f432d42ce12de
- Size of remote file:
- 904 kB
- SHA256:
- 34456b70f0df8524f778f9db1ac31babce7b48fee822c5d37f0a3c5fa1a3dcc9
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