Instructions to use asach/simpleT5-resume-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use asach/simpleT5-resume-summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("asach/simpleT5-resume-summarization") model = AutoModelForSeq2SeqLM.from_pretrained("asach/simpleT5-resume-summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e5fccd5c8a87adf91923d2b9c4d6067f1168091c70b380dada30da681d7ca71b
- Size of remote file:
- 892 MB
- SHA256:
- ab6cbd4cff171a8a07f8853f0b3148a1a2ced56a1d5f8e9611a5400dda97fa2d
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