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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f11b23ed5eebaeb810877cf206d0452d9f536db3ad96d8f5424436579c3873b2
- Size of remote file:
- 712 MB
- SHA256:
- 3736849f878b55cb24169fecef486ff34a973b4b83d4e063340615b530df1c84
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