Instructions to use Benjaminpwh/llama_4.2_1000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Benjaminpwh/llama_4.2_1000 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Benjaminpwh/llama_4.2_1000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download training_args.bin from Benjaminpwh/llama_4.2_1000: direct link, hf CLI and curl.
- Browser
- Download file 6.1 kB
-
https://huggingface.co/Benjaminpwh/llama_4.2_1000/resolve/main/training_args.bin
- Command line
-
hf download hf://Benjaminpwh/llama_4.2_1000/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Benjaminpwh/llama_4.2_1000/resolve/main/training_args.bin
6.1 kB
- Xet hash:
- 08df062bf90271c11cb2d9bff62440493af5301ed70797a727c978875475c1a5
- Size of remote file:
- 6.1 kB
- SHA256:
- 9e37715c5764e601d47edebd0c5d9a4d09647163196dbbcfdbe9a36076b9b2e7
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