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 special_tokens_map.json from clejordan/MNLP_M2_quantized_model: direct link, hf CLI and curl.
- Browser
- Download file 616 Bytes
-
https://huggingface.co/clejordan/MNLP_M2_quantized_model/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://clejordan/MNLP_M2_quantized_model/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/clejordan/MNLP_M2_quantized_model/resolve/main/special_tokens_map.json
616 Bytes
- Xet hash:
- c176b8136da3c8b17fe83122b69864a05dd1c9e01a1b6bfd4a8db96c51d0ca42
- Size of remote file:
- 616 Bytes
- SHA256:
- 6676f091c8bc4d1b50146427cfde92073402866b87b6e39223227931b70083e9
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