Question Answering
Transformers
PyTorch
TensorBoard
t5
Generated from Trainer
text-generation-inference
Instructions to use TARUNBHATT/flan-t5-small-finetuned-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TARUNBHATT/flan-t5-small-finetuned-squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="TARUNBHATT/flan-t5-small-finetuned-squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("TARUNBHATT/flan-t5-small-finetuned-squad") model = AutoModelForQuestionAnswering.from_pretrained("TARUNBHATT/flan-t5-small-finetuned-squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 003dc2d288302fb6c5120b34cf687626bc4d0bc34a2ffacafbff4e8dace9959d
- Size of remote file:
- 3.96 kB
- SHA256:
- ccd4690df6d623bc4263a9d1bf660c843e38d440f84d271b442764c83c75e332
路
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