Question Answering
Transformers
TensorBoard
Safetensors
t5
Generated from Trainer
text-generation-inference
Instructions to use tringuyen-uit/ER_new_context with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tringuyen-uit/ER_new_context with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="tringuyen-uit/ER_new_context")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("tringuyen-uit/ER_new_context") model = AutoModelForQuestionAnswering.from_pretrained("tringuyen-uit/ER_new_context") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aee6c596f43ef0059bc654248c432d3b356090c81c212f53c10a70dc9ac60049
- Size of remote file:
- 4.92 kB
- SHA256:
- 0aeb1596df9aecbb161949571ea55bb0d013e12017abe6c3b97573b4231030fa
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