Instructions to use Matheusmatos2916/my_awesome_qa_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Matheusmatos2916/my_awesome_qa_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Matheusmatos2916/my_awesome_qa_model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Matheusmatos2916/my_awesome_qa_model") model = AutoModelForQuestionAnswering.from_pretrained("Matheusmatos2916/my_awesome_qa_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fbe9fb2a8e473a74674920f18ee755bf461c69a8ab535ae9f7bd0e5f8e06b4ad
- Size of remote file:
- 496 MB
- SHA256:
- 93d67a5cda2957fe7ebd8681ccd41c13a63210b34fdc69cb65c39433ef9598ca
路
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