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:
- 3aa53aad8866f9431cc895629ed96909c26776dea3ba1e9090772ddadf6d8586
- Size of remote file:
- 4.97 GB
- SHA256:
- 667f96ca30c46c917e0696487e2d02a3b29735719f8f0dddf0e32a20e07c0b4e
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