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
Training in progress, step 180
Browse files
pytorch_model.bin
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runs/Feb24_06-48-03_b6ae67a41600/events.out.tfevents.1677221392.b6ae67a41600.257.0
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