Instructions to use lysandre/tiny-tapas-random-sqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lysandre/tiny-tapas-random-sqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="lysandre/tiny-tapas-random-sqa")# Load model directly from transformers import AutoTokenizer, AutoModelForTableQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("lysandre/tiny-tapas-random-sqa") model = AutoModelForTableQuestionAnswering.from_pretrained("lysandre/tiny-tapas-random-sqa") - Notebooks
- Google Colab
- Kaggle
Commit ·
051e7f1
1
Parent(s): 2174c2e
Adding `safetensors` variant of this model
Browse filesThis is an automated PR created with https://huggingface.co/spaces/safetensors/convert
This new file is equivalent to `pytorch_model.bin` but safe in the sense that
no arbitrary code can be put into it.
These files also happen to load much faster than their pytorch counterpart:
https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb
The widgets on your model page will run using this model even if this is not merged
making sure the file actually works.
If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions
Feel free to ignore this PR.
- model.safetensors +0 -0
model.safetensors
ADDED
|
Binary file (175 kB). View file
|
|
|