Instructions to use rose-e-wang/solution_a6000_0.00005 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rose-e-wang/solution_a6000_0.00005 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rose-e-wang/solution_a6000_0.00005")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rose-e-wang/solution_a6000_0.00005") model = AutoModelForSequenceClassification.from_pretrained("rose-e-wang/solution_a6000_0.00005") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d74d29d9547d643b0e36564bf11e776ab92059f61af84e0bfdee5417f548ce76
- Size of remote file:
- 4.09 kB
- SHA256:
- e5db0d62c8e68e2669b77b40871bc7ce0467a46308b566f53cfa1e4253ffb394
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