Instructions to use simoxb/mdeberta-v3-base-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simoxb/mdeberta-v3-base-squad2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="simoxb/mdeberta-v3-base-squad2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("simoxb/mdeberta-v3-base-squad2") model = AutoModelForQuestionAnswering.from_pretrained("simoxb/mdeberta-v3-base-squad2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 182c72b8d184bff4545919da514e8e64323d5f5307c599061ea7a27f84bbde22
- Size of remote file:
- 16.3 MB
- SHA256:
- 87db43d85554379452e6abc1bf6274a3e6e7744d28d3965e0c493f48b463e806
路
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