Instructions to use BikoRiko/Gpt-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BikoRiko/Gpt-Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BikoRiko/Gpt-Classification", device_map="auto")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BikoRiko/Gpt-Classification", dtype="auto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 79a8a997c138a32ba9a823113bb73a19910cfa73ed7077ea3364c73b52c19d80
- Size of remote file:
- 3.29 MB
- SHA256:
- 6cb9cc207bf2cb9c11e53ffb73e4715566775c711978b7d8d7e6390604fcbaa7
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