Instructions to use jiarui5/my_awesome_qa_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jiarui5/my_awesome_qa_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="jiarui5/my_awesome_qa_model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("jiarui5/my_awesome_qa_model") model = AutoModelForQuestionAnswering.from_pretrained("jiarui5/my_awesome_qa_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a1ff33b10070b502e7d6eb83cfe7a1fcc7488bfe4ba1b5f0655d6f92013e1b8e
- Size of remote file:
- 5.84 kB
- SHA256:
- 4662a412e0b0fcf5d5b4b5f957b9dcdb1cd5eaa8a9635930806113bbf4000001
路
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