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:
- 9c075041939d157a41ef3dab4f27bc3563b39b6b408898e19a0c95489043006c
- Size of remote file:
- 3.12 kB
- SHA256:
- 6dec8f12b24b61483118337c07f07826722409a87aaac6cf607f8869ba409e25
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