Instructions to use theta/deeper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use theta/deeper with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="theta/deeper")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("theta/deeper") model = AutoModelForSequenceClassification.from_pretrained("theta/deeper", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a69c7db4a2f3817d50fcd343a508e86f71b7a01d434cba06576ab6130a648e33
- Size of remote file:
- 3.39 kB
- SHA256:
- 1211692cdf117242c722d20dbfb022561ca44909086be16d3c37a1ac7523342b
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