Instructions to use amazon-sagemaker-community/encoder_decoder_es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amazon-sagemaker-community/encoder_decoder_es with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("amazon-sagemaker-community/encoder_decoder_es") model = AutoModelForSeq2SeqLM.from_pretrained("amazon-sagemaker-community/encoder_decoder_es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from amazon-sagemaker-community/encoder_decoder_es: direct link, hf CLI and curl.
- Browser
- Download file 615 MB
-
https://huggingface.co/amazon-sagemaker-community/encoder_decoder_es/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://amazon-sagemaker-community/encoder_decoder_es/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/amazon-sagemaker-community/encoder_decoder_es/resolve/main/pytorch_model.bin
615 MB
- Xet hash:
- 89883aa7d14fb4f246f922ab71a55aed8eb29d0ec6c56c8bbe106e9ec797ed20
- Size of remote file:
- 615 MB
- SHA256:
- 14e8d19bb4aab7a44edcf6a14625652b8b56553374c6cc0c648a06e62c073192
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