Instructions to use currentlyexhausted/flan-t5-answer-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use currentlyexhausted/flan-t5-answer-generator with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("currentlyexhausted/flan-t5-answer-generator") model = AutoModelForSeq2SeqLM.from_pretrained("currentlyexhausted/flan-t5-answer-generator") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b3febc21fd9f52553a1f64281f35a473858649acb9a815870bdcf78cc2b1d96c
- Size of remote file:
- 308 MB
- SHA256:
- 45087942c302312fa8517e160df1ca902c59d2fd095b215285f3e2c1a41777e3
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