Question Answering
Transformers
TensorBoard
Safetensors
English
deberta-v2
Generated from Trainer
Eval Results (legacy)
Instructions to use kxx-kkk/FYP_qa_final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kxx-kkk/FYP_qa_final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="kxx-kkk/FYP_qa_final")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("kxx-kkk/FYP_qa_final") model = AutoModelForQuestionAnswering.from_pretrained("kxx-kkk/FYP_qa_final", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3d6325798b10703850b426a5074a6663983dcc709b275169f64b774be2bf9668
- Size of remote file:
- 4.92 kB
- SHA256:
- 20047b2fcc4c6380e5e63e4e09b99baedd23dc76e63b6c224ef720bb5e99e130
路
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