Instructions to use ashmitg/my_awesome_qa_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ashmitg/my_awesome_qa_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ashmitg/my_awesome_qa_model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ashmitg/my_awesome_qa_model") model = AutoModelForQuestionAnswering.from_pretrained("ashmitg/my_awesome_qa_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fee572c90e5d51cc73845c16205b4b580c175ecc31dee6e08979758263bee6a6
- Size of remote file:
- 265 MB
- SHA256:
- 199b3f90a10f51506c0362c41fd5e880364e1c306d221a75774d064cac93bd03
路
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