Instructions to use 0x7o/keyt5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 0x7o/keyt5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("0x7o/keyt5-base") model = AutoModelForSeq2SeqLM.from_pretrained("0x7o/keyt5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 384974c519051c5034c6ff463a8b7cb8cc0054377bf40e4baf830476c10993c2
- Size of remote file:
- 892 MB
- SHA256:
- b4b430ad3f483704794f5a36afca91c34b9c9901fc183951fa0a5a8458a96438
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