Instructions to use rose-e-wang/None with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rose-e-wang/None with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rose-e-wang/None")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rose-e-wang/None") model = AutoModelForSequenceClassification.from_pretrained("rose-e-wang/None", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed2bd77773109590dfc63c36259bbd5340cafcb61596a2602a334d22687e1e2f
- Size of remote file:
- 1.42 GB
- SHA256:
- 725560219ac1c489f05d51fc9ce1d582521bc3f52a0334d2ddc6bf3ad8748a4a
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