Instructions to use fliarbi/t5-flan-industries_detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fliarbi/t5-flan-industries_detector with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("fliarbi/t5-flan-industries_detector") model = AutoModelForSeq2SeqLM.from_pretrained("fliarbi/t5-flan-industries_detector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0d6f0bf772774b690c21afa1b90b2178ce6de18ac1fcd7984cab428bfc967e1d
- Size of remote file:
- 990 MB
- SHA256:
- 365c0ebd51e904d7901a2ffa598e26f85483974f7daedd475b56b9e8344eaf3a
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