Instructions to use ieuniversity/summarization_model_translator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ieuniversity/summarization_model_translator with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ieuniversity/summarization_model_translator") model = AutoModelForSeq2SeqLM.from_pretrained("ieuniversity/summarization_model_translator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 13aa8d7fe09fad03659be31ae9ae20c4c0d8f46a9c68a5b91181226d704571ce
- Size of remote file:
- 990 MB
- SHA256:
- b16d80feb598fe6db30cdecdf4a1b011a0d497dce0c9b9bc71c85ab51bc170e2
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