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 tokenizer.json from clejordan/MNLP_M2_quantized_model: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/clejordan/MNLP_M2_quantized_model/resolve/main/tokenizer.json
- Command line
-
hf download hf://clejordan/MNLP_M2_quantized_model/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/clejordan/MNLP_M2_quantized_model/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 983794e4b767557dd12786b24988233d3c6a3d404c607c07fd2d05b940388435
- Size of remote file:
- 11.4 MB
- SHA256:
- 574de68a0f63f2004784a421c7d42c2b2786c05cb38542d2ed3525757a1f7fde
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