Instructions to use voxreality/t5_nlu_intent_recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use voxreality/t5_nlu_intent_recognition with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("voxreality/t5_nlu_intent_recognition") model = AutoModelForSeq2SeqLM.from_pretrained("voxreality/t5_nlu_intent_recognition", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b6181fa56509e0ffc38af061ed1bd78b53d42fd881e6a100713a59beb4a4cba
- Size of remote file:
- 3.58 kB
- SHA256:
- c017fedd2ddf9f10f44a93352d48329ba9f05a5d0cbd7bf09b431dfb99087f56
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