Instructions to use krisha05/my_awesome_qa_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use krisha05/my_awesome_qa_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="krisha05/my_awesome_qa_model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("krisha05/my_awesome_qa_model") model = AutoModelForQuestionAnswering.from_pretrained("krisha05/my_awesome_qa_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6af1e5732e6df7aea217f933b5080a37fcfc5f3b8708493b6652dabae7428159
- Size of remote file:
- 3.96 kB
- SHA256:
- 66181214a63d3271c917497a0364398c1284bd090db003a2edd2bf08297610cd
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