Instructions to use rose-e-wang/0.0000005_0.99 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rose-e-wang/0.0000005_0.99 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rose-e-wang/0.0000005_0.99")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rose-e-wang/0.0000005_0.99") model = AutoModelForSequenceClassification.from_pretrained("rose-e-wang/0.0000005_0.99", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06ab546e7c2ccf1e59c2b29ec0086213ba890f075fc1766c0ebebbfeb18e6ce2
- Size of remote file:
- 1.42 GB
- SHA256:
- 4451c43601112c70adbc6f11b3cce5d2d841b67109fa3852f15b7b46a9a46356
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