Instructions to use jay0911/ae-detection-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jay0911/ae-detection-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jay0911/ae-detection-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jay0911/ae-detection-model") model = AutoModelForSequenceClassification.from_pretrained("jay0911/ae-detection-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from jay0911/ae-detection-model: direct link, hf CLI and curl.
- Browser
- Download file 5.71 kB
-
https://huggingface.co/jay0911/ae-detection-model/resolve/main/training_args.bin
- Command line
-
hf download hf://jay0911/ae-detection-model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jay0911/ae-detection-model/resolve/main/training_args.bin
5.71 kB
- Xet hash:
- 052118d3ba67108999357068b29d22c01a15fa82a37ef361f5254dc4dd41a488
- Size of remote file:
- 5.71 kB
- SHA256:
- c638dc76d97073268327890f06cab96f5f19b79d48d781213fbe61f7f0ddf15c
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