Instructions to use lakelee/RLB_MLP_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lakelee/RLB_MLP_v2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lakelee/RLB_MLP_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from lakelee/RLB_MLP_v2: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/lakelee/RLB_MLP_v2/resolve/main/training_args.bin
- Command line
-
hf download hf://lakelee/RLB_MLP_v2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/lakelee/RLB_MLP_v2/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- 14b7a81c7f35f8afdc85b84b9ca0c1a0dd6cb6745b51d6dc8d655f262e99d509
- Size of remote file:
- 5.43 kB
- SHA256:
- 72b1215efcc5b07343ce9f66c9b49e486e776f76b12b9381a14eafa81b47ab7a
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