Instructions to use fagner/kaggle-detect-generated-text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fagner/kaggle-detect-generated-text with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="fagner/kaggle-detect-generated-text")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("fagner/kaggle-detect-generated-text") model = AutoModelForSequenceClassification.from_pretrained("fagner/kaggle-detect-generated-text", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from fagner/kaggle-detect-generated-text: direct link, hf CLI and curl.
- Browser
- Download file 867 MB
-
https://huggingface.co/fagner/kaggle-detect-generated-text/resolve/main/optimizer.pt
- Command line
-
hf download hf://fagner/kaggle-detect-generated-text/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/fagner/kaggle-detect-generated-text/resolve/main/optimizer.pt
867 MB
- Xet hash:
- 14d02452aa2e6a8c54f49a960f5b743d2318805792856352db6f696139e25ba9
- Size of remote file:
- 867 MB
- SHA256:
- 59dadcf8c32d3383ecdfab97bffef235ffa760c52798e812039f58e66e46317e
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