Table Question Answering
Transformers
Safetensors
Thai
English
llama
text-generation
text-generation-inference
4-bit precision
bitsandbytes
Instructions to use AIAT/The_Scamper-opt70bqt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AIAT/The_Scamper-opt70bqt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="AIAT/The_Scamper-opt70bqt")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("AIAT/The_Scamper-opt70bqt") model = AutoModelForCausalLM.from_pretrained("AIAT/The_Scamper-opt70bqt") - Notebooks
- Google Colab
- Kaggle
Update README.md
#5
by suphanatwong - opened
No description provided.
Ksukhantharat changed pull request status to merged