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
Ctrl+K
- 1.52 kB
- 5.17 kB
- 702 Bytes
- 4.58 GB xet
- 4.66 GB xet
- 5 GB xet
- 4.97 GB xet
- 4.66 GB xet
- 4.66 GB xet
- 4.66 GB xet
- 5 GB xet
- 4.97 GB xet
- 4.66 GB xet
- 4.66 GB xet
- 4.66 GB xet
- 5 GB xet
- 4.97 GB xet
- 4.66 GB xet
- 4.66 GB xet
- 4.66 GB xet
- 5 GB xet
- 4.97 GB xet
- 4.66 GB xet
- 4.66 GB xet
- 4.66 GB xet
- 5 GB xet
- 4.97 GB xet
- 4.66 GB xet
- 4.66 GB xet
- 4.66 GB xet
- 5 GB xet
- 4.97 GB xet
- 55.2 kB