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
File size: 134 Bytes
3dce9b8 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:59dadcf8c32d3383ecdfab97bffef235ffa760c52798e812039f58e66e46317e
size 866662149
|