Instructions to use KillT/t5_customer_classification_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KillT/t5_customer_classification_model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("KillT/t5_customer_classification_model") model = AutoModelForSeq2SeqLM.from_pretrained("KillT/t5_customer_classification_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a24ab6e3cd068364b90111abe70b7b4d0b7525312b683468a721186c3d3c6dca
- Size of remote file:
- 242 MB
- SHA256:
- e36ac2ea01cda65987430a0b3d590da0eccdfc9c4d4730247748363bc91d4223
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