Instructions to use AnonymousSub/dummy_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/dummy_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousSub/dummy_2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/dummy_2") model = AutoModelForSequenceClassification.from_pretrained("AnonymousSub/dummy_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a1d609ad8f9314889f9cbac89cd471f436b13960ffd091c4417a89d86099c7e4
- Size of remote file:
- 712 MB
- SHA256:
- c0479532d39d274bbd35d1d998b699373e0b1f91f8aeaa7aad18b11b355e3873
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