Instructions to use alynakbaba/mdeberta-v3-base-QA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alynakbaba/mdeberta-v3-base-QA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="alynakbaba/mdeberta-v3-base-QA")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("alynakbaba/mdeberta-v3-base-QA") model = AutoModelForQuestionAnswering.from_pretrained("alynakbaba/mdeberta-v3-base-QA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3f5bbe1f2b4b6ec00868c4096c4162c420ef2059754c9f91a695813c91bbbd34
- Size of remote file:
- 5.37 kB
- SHA256:
- 05dce9ffc522245ef2a84ccfdaf0d7f292bad228c34e63990582cfafcb32c3a8
路
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