Instructions to use AnonymousSub/dummy_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/dummy_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousSub/dummy_1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/dummy_1") model = AutoModelForSequenceClassification.from_pretrained("AnonymousSub/dummy_1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c3cfd220676c6ba13fdbcf9e5d41e63e15e5b40eed8f739fe66ae046290f7c1f
- Size of remote file:
- 3.12 kB
- SHA256:
- 7d9f2560fb2cce49da8a53ce20aa8ff738926803247bd2abd502d4a4a0886076
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