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 config.json from clejordan/MNLP_M2_quantized_model: direct link, hf CLI and curl.
- Browser
- Download file 1.81 kB
-
https://huggingface.co/clejordan/MNLP_M2_quantized_model/resolve/main/config.json
- Command line
-
hf download hf://clejordan/MNLP_M2_quantized_model/config.json
-
curl -L -o config.json https://huggingface.co/clejordan/MNLP_M2_quantized_model/resolve/main/config.json
1.81 kB
- Xet hash:
- 0cd3afe4872915c07210f92adbbd6f7b47d01b6396a6a987e2de9f821faf9351
- Size of remote file:
- 1.81 kB
- SHA256:
- 92d86b150b72711921b0d0a29a4be8aafce9d8386e345ad4658265480a30c34b
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