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:
- a8a9092231f7cf0936343ab81f3c018c465b7f6057082ffad82a99232f882f81
- Size of remote file:
- 4.6 kB
- SHA256:
- 0382cb0af520ea2a71ed568fa21e161727202a008042b82bb3638345b9e8ff43
路
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