Instructions to use CompassioninMachineLearning/Pretrained_twentyK_cleanChat_split_output_instr_masking with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CompassioninMachineLearning/Pretrained_twentyK_cleanChat_split_output_instr_masking with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("CompassioninMachineLearning/Pretrained_twentyK_cleanChat_split_output_instr_masking", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
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