Instructions to use mattshumer/Reflection-16-Test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mattshumer/Reflection-16-Test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="mattshumer/Reflection-16-Test")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("mattshumer/Reflection-16-Test") model = AutoModel.from_pretrained("mattshumer/Reflection-16-Test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0f5677fbfee8248218f79623bfaa74e5f123d56b96fe55095270f81178e332b3
- Size of remote file:
- 4.66 GB
- SHA256:
- 544c9cf60796d6fe2d60eb41a4a2f401a62b7580dda9333365a984df9ac934b4
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