Instructions to use gwtmmm/brahmos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gwtmmm/brahmos with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama-chat-bnb-4bit") model = PeftModel.from_pretrained(base_model, "gwtmmm/brahmos") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download training_args.bin from gwtmmm/brahmos: direct link, hf CLI and curl.
- Browser
- Download file 5.71 kB
-
https://huggingface.co/gwtmmm/brahmos/resolve/main/training_args.bin
- Command line
-
hf download hf://gwtmmm/brahmos/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/gwtmmm/brahmos/resolve/main/training_args.bin
5.71 kB
- Xet hash:
- fdf79831b89231dc6174e50c6d411de022d06bc716d8a9feb051b313576b485e
- Size of remote file:
- 5.71 kB
- SHA256:
- 64c6e3348a27ae63aa97f6495e4ecdeeea1c18bb19a6927cd01bef25f3e74556
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