Instructions to use royeis/T5-Factual-Classifier-V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use royeis/T5-Factual-Classifier-V1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("royeis/T5-Factual-Classifier-V1") model = AutoModelForSeq2SeqLM.from_pretrained("royeis/T5-Factual-Classifier-V1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 708adb9609c6ede3a94fd5e6a0a0b513de94a71245a1aa31ef35679975bfa45e
- Size of remote file:
- 892 MB
- SHA256:
- bcc2f47319ec4a1de61e37e9dc7b26dd79cf19c02524e4d2d158a29bf330167e
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