Table Question Answering
Transformers
PyTorch
Safetensors
Russian
English
t5
text2text-generation
agent
text-generation-inference
Instructions to use vahrush/NTB_probe_sec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vahrush/NTB_probe_sec with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="vahrush/NTB_probe_sec")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("vahrush/NTB_probe_sec") model = AutoModelForSeq2SeqLM.from_pretrained("vahrush/NTB_probe_sec") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!