Instructions to use rose-e-wang/tools_0.00001_0.999 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rose-e-wang/tools_0.00001_0.999 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rose-e-wang/tools_0.00001_0.999")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rose-e-wang/tools_0.00001_0.999") model = AutoModelForSequenceClassification.from_pretrained("rose-e-wang/tools_0.00001_0.999") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a2bb863aae98550a0eec635ae747feadf58334db17e7c678c4f493d26893e24
- Size of remote file:
- 1.42 GB
- SHA256:
- 2219aaee3fbbba0b8efe4f5ee93f367488645e026f6164935c267ff1143d8299
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