Instructions to use gao-huggingface/T5-IDX-Event with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gao-huggingface/T5-IDX-Event with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gao-huggingface/T5-IDX-Event") model = AutoModelForSeq2SeqLM.from_pretrained("gao-huggingface/T5-IDX-Event", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c64d1cc611f757b25141250ff7515ce96610fd73ca18da74be89b7860bf3342e
- Size of remote file:
- 892 MB
- SHA256:
- 4540e67101612a91bcfe4e17c51e731b53f840c9e6ccecb3a7ced567272e8961
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