Instructions to use camilodefelipe/t5_squad_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use camilodefelipe/t5_squad_v1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("camilodefelipe/t5_squad_v1") model = AutoModelForSeq2SeqLM.from_pretrained("camilodefelipe/t5_squad_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d0479f12c49fb7866d593a6990c14bbe394dd2e65ad8c7737dbde6d91fb367c8
- Size of remote file:
- 892 MB
- SHA256:
- ce06e36b62b9d3234f7bc569cb1ae2c4308c6067fba7f16828e5e14718e59486
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