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:
- d3ba9c2291ec215779aca0c509f081e7241d8bdf72e17cb051598b27aeffd1f3
- Size of remote file:
- 242 MB
- SHA256:
- 0259f56f36bf2ae2ac302418ebcffb9aa17de2859309f964ca99ef7e81cb0c6e
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