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:
- ee7579e65e62ea8f5fee085c5469b4f53630637f950fa7fac8fc9ea8ec8ae669
- Size of remote file:
- 242 MB
- SHA256:
- 4ad577bfd873c8a232e5ce2120551c8deedca1bb435754c9e56576b2661769a7
路
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