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:
- 1dab817f2775c8f02feccdca2c19880c70d808bc97358d03dd27f8ce79a35203
- Size of remote file:
- 4.03 kB
- SHA256:
- 636c052085557301fe4c45b548e941970778f7be42c6b6af3664d3eb9e961378
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