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:
- 1daafa79f60a67cc20d8b58edd439698457c1ddc1a676e4fb3e9651d2f798883
- Size of remote file:
- 409 MB
- SHA256:
- b29f4c280db09874fce2642085163a2199fbd374e6e84d0dd1629acaaeae3c5d
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