Instructions to use rose-e-wang/tools_a6000_0.00003 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rose-e-wang/tools_a6000_0.00003 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rose-e-wang/tools_a6000_0.00003")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rose-e-wang/tools_a6000_0.00003") model = AutoModelForSequenceClassification.from_pretrained("rose-e-wang/tools_a6000_0.00003") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3bc8a8ac0471c015023cf5d1bc40c83ef279ae44b77530d59ed00367056bab6b
- Size of remote file:
- 4.09 kB
- SHA256:
- 6c4a9aef26f66295f66a486524b09266b846758b3d49dabf0ccc5f5bcff94935
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