Instructions to use Binaryy/flan-t5-qa-sample with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Binaryy/flan-t5-qa-sample with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Binaryy/flan-t5-qa-sample") model = AutoModelForSeq2SeqLM.from_pretrained("Binaryy/flan-t5-qa-sample") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c011ec3c6a6c0bbbf000e545bcb9d0eacf1ae8fa423773a7489e1e20662e4ef
- Size of remote file:
- 1.63 GB
- SHA256:
- b611813e4ac8f02a6bd569dc9c33c628ff27f270b6c2c6c7718ca48c8e5f44d7
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