Instructions to use DebateLabKIT/Nemotron-Cascade-14B-Argunaut-2-SFT-LORA-dev2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DebateLabKIT/Nemotron-Cascade-14B-Argunaut-2-SFT-LORA-dev2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DebateLabKIT/Nemotron-Cascade-14B-Argunaut-2-SFT-LORA-dev2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from DebateLabKIT/Nemotron-Cascade-14B-Argunaut-2-SFT-LORA-dev2: direct link, hf CLI and curl.
- Browser
- Download file 6.42 kB
-
https://huggingface.co/DebateLabKIT/Nemotron-Cascade-14B-Argunaut-2-SFT-LORA-dev2/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://DebateLabKIT/Nemotron-Cascade-14B-Argunaut-2-SFT-LORA-dev2@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/DebateLabKIT/Nemotron-Cascade-14B-Argunaut-2-SFT-LORA-dev2/resolve/refs%2Fpr%2F1/training_args.bin
6.42 kB
- Xet hash:
- dd07ae2eb931621f6deae594304a7f1cdaa288cb3cd2970b2fc73397e1f913ed
- Size of remote file:
- 6.42 kB
- SHA256:
- e508415869a94969244a2a272b67de6937c2641e6c138d25ddebe74d31f1ec31
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