Instructions to use WindyTranslate/translate-en-mr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-en-mr 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-mr")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-en-mr") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-en-mr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a1b3ba8af8bfb728a237ad0788c839d63395a638c6358af1caae79ae922c0528
- Size of remote file:
- 813 kB
- SHA256:
- 75b035c59a9b588232d223722ef6e12fb7f49264902e876f2995f8ef30434f67
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