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:
- 76e2861318d2cca763faa26cdf9887591f1e08349a2dfe14f7caa7b5c018ee4d
- Size of remote file:
- 735 MB
- SHA256:
- ff5483a1762939304fe67bf52941948c596c1276ea2a9f6c9b126be8635466a5
路
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