Instructions to use rose-e-wang/na with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rose-e-wang/na with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rose-e-wang/na")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rose-e-wang/na") model = AutoModelForSequenceClassification.from_pretrained("rose-e-wang/na", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb7b0596ba1a42fb7370f4a4e4bb864838ecf9585ed64feeabbdb8d3ce6eb421
- Size of remote file:
- 1.42 GB
- SHA256:
- b822085508d4cae07732cd38dff2c800f4235cc2f08d9719ef82a0d223e15d67
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