Instructions to use huyen89/MGTDetectionModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huyen89/MGTDetectionModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="huyen89/MGTDetectionModel")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("huyen89/MGTDetectionModel") model = AutoModelForSequenceClassification.from_pretrained("huyen89/MGTDetectionModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b80ea08dbca8068ad12e90f9a4ceea4878e3c9e30d682da69d4a0d67cd2ff507
- Size of remote file:
- 268 MB
- SHA256:
- fc45dc6e5053470153cb59f9e04ad73392d761fd53f3d748d7b28a5642092c51
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