Instructions to use rayraycano/llama-8b-lora-unsloth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rayraycano/llama-8b-lora-unsloth with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rayraycano/llama-8b-lora-unsloth", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download training_args.bin from rayraycano/llama-8b-lora-unsloth: direct link, hf CLI and curl.
- Browser
- Download file 6.23 kB
-
https://huggingface.co/rayraycano/llama-8b-lora-unsloth/resolve/main/training_args.bin
- Command line
-
hf download hf://rayraycano/llama-8b-lora-unsloth/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/rayraycano/llama-8b-lora-unsloth/resolve/main/training_args.bin
6.23 kB
- Xet hash:
- 740becffbfbcb73e6a110f740611503227d36a3aaf94e6060ddb0739f8d64e73
- Size of remote file:
- 6.23 kB
- SHA256:
- 86b022e9093018c3516e1a1b88db5b884b40ebaf13ab04eddd9fb31f7bc27ec2
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