Instructions to use rose-e-wang/tools with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rose-e-wang/tools with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rose-e-wang/tools")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rose-e-wang/tools") model = AutoModelForSequenceClassification.from_pretrained("rose-e-wang/tools") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c8859caf6644b5be3e7d4355e5135a2e81e5baa46edd5c167972dcee9ef48cff
- Size of remote file:
- 1.42 GB
- SHA256:
- ebb2938222281c0c051d2bc40ea1dfbf858a17324dd31c0fc1b70c850b4bffdf
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