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:
- 1b10eaf85ad79aac4733b3e91acbd3a0643da31377231d37aaa18bf06a1b1a2e
- Size of remote file:
- 1.11 GB
- SHA256:
- 9bae42a175c0c4a32a44afc84e30d136027235e2c47d99eb93a70c003c898c65
路
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