Instructions to use rose-e-wang/tools_lr0.00002 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rose-e-wang/tools_lr0.00002 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rose-e-wang/tools_lr0.00002")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rose-e-wang/tools_lr0.00002") model = AutoModelForSequenceClassification.from_pretrained("rose-e-wang/tools_lr0.00002") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a890c3ede51616a46cef33f1586242f3df2f1a8c52fb7e4cdf8bcc2ab760672
- Size of remote file:
- 1.42 GB
- SHA256:
- 25f0e884440296ec15111d3da68ae11ca9bcd270e7e0a91c56e23dfbf0461a53
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