Instructions to use yehoshuadiller/my_awesome_qa_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yehoshuadiller/my_awesome_qa_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="yehoshuadiller/my_awesome_qa_model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("yehoshuadiller/my_awesome_qa_model") model = AutoModelForQuestionAnswering.from_pretrained("yehoshuadiller/my_awesome_qa_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 159b5140e9f6ccd5af9fe3ba8881fed49cb818198d4101cdb645f62616d066a7
- Size of remote file:
- 265 MB
- SHA256:
- 30a3eda3965834464a1040b093dd5b6aa095dc497794f3ce11c40b25af00e9de
路
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