Instructions to use google/tapas-base-finetuned-wtq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/tapas-base-finetuned-wtq with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="google/tapas-base-finetuned-wtq")# Load model directly from transformers import AutoTokenizer, AutoModelForTableQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("google/tapas-base-finetuned-wtq") model = AutoModelForTableQuestionAnswering.from_pretrained("google/tapas-base-finetuned-wtq") - Inference
- Notebooks
- Google Colab
- Kaggle
Add LICENSE file
#7 opened 6 months ago
by
jewittje
How to refund a wrong transaction in PhonePe?
4
#6 opened over 1 year ago
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Poojgfa
Unable to convert Huggingface model to torchscript
#4 opened over 2 years ago
by
muhammadbaasit
unable to trace the model using TorchScript
1
#3 opened about 3 years ago
by
Iamexperimenting
Adding `safetensors` variant of this model
#2 opened about 3 years ago
by
SFconvertbot
Huge Table Q/A
7
#1 opened about 3 years ago
by
moustafa123