Instructions to use truong1301/my_awesome_qa_model_vifactcheck with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use truong1301/my_awesome_qa_model_vifactcheck with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="truong1301/my_awesome_qa_model_vifactcheck")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("truong1301/my_awesome_qa_model_vifactcheck") model = AutoModelForQuestionAnswering.from_pretrained("truong1301/my_awesome_qa_model_vifactcheck") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d06ce8ad423fa49fd941c464febbe8b5aca110f81a9d9e12dae6a37bd3a7060d
- Size of remote file:
- 5.78 kB
- SHA256:
- 54ce865b6bbe8f4feef176c2e61332ecb69e1ad775d2593cb37c23a886376d4c
路
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