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 generation_config.json from clejordan/MNLP_M2_quantized_model: direct link, hf CLI and curl.
- Browser
- Download file 117 Bytes
-
https://huggingface.co/clejordan/MNLP_M2_quantized_model/resolve/main/generation_config.json
- Command line
-
hf download hf://clejordan/MNLP_M2_quantized_model/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/clejordan/MNLP_M2_quantized_model/resolve/main/generation_config.json
117 Bytes
- Xet hash:
- a14a008cd94e35160369fdd84e6edafaaa13fe440c448252fd752bb50f1c4f62
- Size of remote file:
- 117 Bytes
- SHA256:
- 045cd93deb6bb8855bed5d5fc5d00eefd5c1044a5099287e9c8897aa3cbf3043
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