Instructions to use cloudqi/cqi_brain_memory_question_anwser_pt_v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cloudqi/cqi_brain_memory_question_anwser_pt_v0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="cloudqi/cqi_brain_memory_question_anwser_pt_v0")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("cloudqi/cqi_brain_memory_question_anwser_pt_v0") model = AutoModelForQuestionAnswering.from_pretrained("cloudqi/cqi_brain_memory_question_anwser_pt_v0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2913080a444788fe48409fe2875974a8fb8703574f84d995e7881bec1b877e24
- Size of remote file:
- 496 MB
- SHA256:
- c224e441eccb753f528424054215d608ef5bf4e8a60ecb32923d23e6ce9b869d
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