Instructions to use poom-sci/distilbert-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use poom-sci/distilbert-qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="poom-sci/distilbert-qa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("poom-sci/distilbert-qa") model = AutoModelForQuestionAnswering.from_pretrained("poom-sci/distilbert-qa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da2c0bb98eea50cd76109586953cde2f872ebb29c7749e71c4b425a334909ed7
- Size of remote file:
- 2.8 kB
- SHA256:
- 498d8a741ea205d9107a6566f1d63bd1ddb50d93fedc58fed5914d277ca63fb7
路
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