Instructions to use WindyTranslate/translate-en-sal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-en-sal 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-sal")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-en-sal") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-en-sal", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 835ee2a96eec0bd3fb1e5dba3dd9b71ae70bcf4b024867a892941b3b1ecf13fe
- Size of remote file:
- 806 kB
- SHA256:
- 056bedb5c8c891db2e17848d26e620922ff6d4f22da1713e2c64b26c61e3d2b1
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