Instructions to use Andru/out with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Andru/out with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Andru/out")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Andru/out") model = AutoModelForSequenceClassification.from_pretrained("Andru/out") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 659d8c77898f2fb62420174daeb27a64a2059c4483f4ccf421588dce0b409cf1
- Size of remote file:
- 4.6 kB
- SHA256:
- a555289b6687d3b7d4a4642474b406b53cbc46446384904ab31d79951a5a6eb1
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