Instructions to use krishnareddy/hello_qa_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use krishnareddy/hello_qa_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="krishnareddy/hello_qa_model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("krishnareddy/hello_qa_model") model = AutoModelForQuestionAnswering.from_pretrained("krishnareddy/hello_qa_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1b61aabd9c59afb5cd2c9d9c85a04ac89ef9f21569628a67dcc5e5cc8f84aba0
- Size of remote file:
- 265 MB
- SHA256:
- 2142496765cdb9670f4117efe3fccccd9cb8458697321b755c3c2c96e3e10097
路
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