Instructions to use eunyounglee/mBART_translator_json_hyperparameter_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eunyounglee/mBART_translator_json_hyperparameter_1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("eunyounglee/mBART_translator_json_hyperparameter_1") model = AutoModelForSeq2SeqLM.from_pretrained("eunyounglee/mBART_translator_json_hyperparameter_1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from eunyounglee/mBART_translator_json_hyperparameter_1: direct link, hf CLI and curl.
- Browser
- Download file 2.44 GB
-
https://huggingface.co/eunyounglee/mBART_translator_json_hyperparameter_1/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://eunyounglee/mBART_translator_json_hyperparameter_1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/eunyounglee/mBART_translator_json_hyperparameter_1/resolve/main/pytorch_model.bin
2.44 GB
- Xet hash:
- 74be86fc2bde3a9844e722112c92cebe20523bb18d9e796128ec091bb77c58bf
- Size of remote file:
- 2.44 GB
- SHA256:
- fcf5d766dfcd9f596fb325533a3947ea049c72a1497c854d6cf6395a90d09624
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