Instructions to use timpal0l/mdeberta-v3-base-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use timpal0l/mdeberta-v3-base-squad2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="timpal0l/mdeberta-v3-base-squad2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("timpal0l/mdeberta-v3-base-squad2") model = AutoModelForQuestionAnswering.from_pretrained("timpal0l/mdeberta-v3-base-squad2", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
b5d182d | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:91d05e57e35a8a3768fbdbd26ecfa3c0672f6e889c0554e1859cabf282de2c56
size 1112951793
|