Question Answering
Transformers
PyTorch
TensorBoard
English
t5
text2text-generation
text-generation-inference
Instructions to use grasgor/flan-t5-small-wikitablequestions with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use grasgor/flan-t5-small-wikitablequestions with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="grasgor/flan-t5-small-wikitablequestions")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("grasgor/flan-t5-small-wikitablequestions") model = AutoModelForSeq2SeqLM.from_pretrained("grasgor/flan-t5-small-wikitablequestions") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c231dfa0ba6710cc5a8dbad8c02c2dbe008a3ac1c67afc7ffc25b4568a8e261
- Size of remote file:
- 308 MB
- SHA256:
- da215790942530de227b85015ae82f36ed919fe03e5ae34cd14459d101b16a3b
路
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