Instructions to use WindyTranslate/translate-es-cs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-es-cs 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-es-cs")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-es-cs") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-es-cs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6f1977c1dded031bdbdd8fc327f68824131187159cc2bfc8ecbe62bd7638216a
- Size of remote file:
- 814 kB
- SHA256:
- db16ab4d1389563779f206526e2b69dddc2eca11b017c76ab8bb7cbf30b2bfec
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