Instructions to use WindyTranslate/translate-srn-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-srn-es 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-srn-es")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-srn-es") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-srn-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-srn-es, with attribution and change statement
eebe332 verified - Xet hash:
- 6d58ec80ba6de5038107937c3f624b0c6ab732a0e7955b56ac4e49e250b14f79
- Size of remote file:
- 784 kB
- SHA256:
- f9c94a95fe8330b67507127d7944e7ef9826d07ec9a10231045bc6bdc87f5f53
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