Question Answering
Transformers
TensorBoard
Safetensors
t5
Generated from Trainer
text-generation-inference
Instructions to use tringuyen-uit/Evidence_Retrieval_model_vit5_base_word with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tringuyen-uit/Evidence_Retrieval_model_vit5_base_word with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="tringuyen-uit/Evidence_Retrieval_model_vit5_base_word")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("tringuyen-uit/Evidence_Retrieval_model_vit5_base_word") model = AutoModelForQuestionAnswering.from_pretrained("tringuyen-uit/Evidence_Retrieval_model_vit5_base_word", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K