Instructions to use truong1301/vifactcheck_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use truong1301/vifactcheck_4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="truong1301/vifactcheck_4")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("truong1301/vifactcheck_4") model = AutoModelForQuestionAnswering.from_pretrained("truong1301/vifactcheck_4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a7fe4f068272f2653c83f0732cf0c42a2ab85f60480b13064f5fb5beaa18621b
- Size of remote file:
- 1.11 GB
- SHA256:
- 80e51eabf297cbd6e12a947dc6cc1e660e0e737a35a63772055743627ceedc28
路
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