Instructions to use clejordan/MNLP_M2_quantized_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use clejordan/MNLP_M2_quantized_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("clejordan/MNLP_M2_quantized_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from clejordan/MNLP_M2_quantized_model: direct link, hf CLI and curl.
- Browser
- Download file 2.78 MB
-
https://huggingface.co/clejordan/MNLP_M2_quantized_model/resolve/main/vocab.json
- Command line
-
hf download hf://clejordan/MNLP_M2_quantized_model/vocab.json
-
curl -L -o vocab.json https://huggingface.co/clejordan/MNLP_M2_quantized_model/resolve/main/vocab.json
2.78 MB
- Xet hash:
- 9208e1becc6a9c4f75553fef9c86462a972181318728ee9010a7e788a836aec6
- Size of remote file:
- 2.78 MB
- SHA256:
- ca10d7e9fb3ed18575dd1e277a2579c16d108e32f27439684afa0e10b1440910
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