Instructions to use bobbyw/LlamaQuantizedClassifierTC_faster2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bobbyw/LlamaQuantizedClassifierTC_faster2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bobbyw/LlamaQuantizedClassifierTC_faster2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 96bad56f87b83b4129b2c2d5d86fe0452040857074c4e274f281bb18c40b3abf
- Size of remote file:
- 171 MB
- SHA256:
- 9cdf21d794b869538feb9f27929ce3c18c3a2383db37c89cf52b838c42a40a72
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