Instructions to use seduerr/paiformalityclassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seduerr/paiformalityclassifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="seduerr/paiformalityclassifier")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("seduerr/paiformalityclassifier") model = AutoModelForMaskedLM.from_pretrained("seduerr/paiformalityclassifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 15fdd8bc64a300db713e9083b6410476e667136f42abfc4af92d7901f91abc22
- Size of remote file:
- 438 MB
- SHA256:
- 927f1f14a473d236d77a2591eb9dc4ec490a22c72a7a5dc9984b0e94c8b67f7a
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