Instructions to use onzi-suba/my_awesome_qa_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use onzi-suba/my_awesome_qa_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="onzi-suba/my_awesome_qa_model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("onzi-suba/my_awesome_qa_model") model = AutoModelForQuestionAnswering.from_pretrained("onzi-suba/my_awesome_qa_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 39227758d45ffc5355fb28b18f9cca970b772a96276e9d2df0152031d304cd03
- Size of remote file:
- 4.54 kB
- SHA256:
- 865350b63adcde5ec62e815fcd2cd3ee1516b5f4ce1c56650bb507fe2a1292a1
路
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