Instructions to use SuperSecureHuman/t5_base_trails with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SuperSecureHuman/t5_base_trails with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("SuperSecureHuman/t5_base_trails") model = AutoModelForSeq2SeqLM.from_pretrained("SuperSecureHuman/t5_base_trails") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d75049bb722379c6813ab710dc3151a2165fd53a330119ebb07aa227c73b2b6a
- Size of remote file:
- 892 MB
- SHA256:
- 5a7791cb55227b82d67f3fa1339a9d5dbdb0a20b9d2706e8f849b951976a051e
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