Instructions to use Hydroflu/squad_t5_samll_ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hydroflu/squad_t5_samll_ft with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Hydroflu/squad_t5_samll_ft") model = AutoModelForSeq2SeqLM.from_pretrained("Hydroflu/squad_t5_samll_ft") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 73fd54ef1bdd34b2a52addb86bf7af4f10011f4c94c616a3722f135d7513e55c
- Size of remote file:
- 242 MB
- SHA256:
- 49f87eddbff86c024c85f289e501c0260d269da2ee8e1ec43f9ac32422f08677
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