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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 345d1152afb094cf67796e4e7729918987f4c72a1ef40db986ea9daa7ae0d731
- Size of remote file:
- 4.03 kB
- SHA256:
- 1d6a0bc64b6885a7924a2442c1c3c4af317444a1e07df0d64d7e4c27eeac3746
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