Instructions to use rose-e-wang/norms_establish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rose-e-wang/norms_establish with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rose-e-wang/norms_establish")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rose-e-wang/norms_establish") model = AutoModelForSequenceClassification.from_pretrained("rose-e-wang/norms_establish") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3214f8c66485f7a2d0d7ecb9ecf2a0993db87c6803027d14c167e930a3306b5d
- Size of remote file:
- 1.42 GB
- SHA256:
- 385d23a14f9938333caca5b64f238b8309f28689a47049700b8d837b03fa0736
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