Instructions to use bobbyw/LlamaQuantizedClassifierTC_faster with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bobbyw/LlamaQuantizedClassifierTC_faster with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bobbyw/LlamaQuantizedClassifierTC_faster", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0d05997f96d414399da8a564aa5b546b3631ac6863d3fb9e0e233592d88404e6
- Size of remote file:
- 171 MB
- SHA256:
- 4f30a3a779bdfb7337b805c28e5a9b716e13a21909e2bc3f8169dc5377b4dc20
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