Instructions to use hiiamsid/hit5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hiiamsid/hit5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hiiamsid/hit5-base") model = AutoModelForSeq2SeqLM.from_pretrained("hiiamsid/hit5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 29271d3f5f1bffa0751b3979877bbfa4cf1a8131788ac0cb6f48536638360383
- Size of remote file:
- 718 kB
- SHA256:
- ace5ea9df7cc8df5a94c80c50cab20bb771d9d7f12edd4d9d20134ab1b2d9663
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