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 added_tokens.json from clejordan/MNLP_M2_quantized_model: direct link, hf CLI and curl.
- Browser
- Download file 707 Bytes
-
https://huggingface.co/clejordan/MNLP_M2_quantized_model/resolve/main/added_tokens.json
- Command line
-
hf download hf://clejordan/MNLP_M2_quantized_model/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/clejordan/MNLP_M2_quantized_model/resolve/main/added_tokens.json
707 Bytes
- Xet hash:
- a1d47d24bcaa9167cf462bd2a8bcececafc10653b77257e39fb37d6017132faa
- Size of remote file:
- 707 Bytes
- SHA256:
- c0284b582e14987fbd3d5a2cb2bd139084371ed9acbae488829a1c900833c680
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