Instructions to use irlab-udc/cabuxa-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use irlab-udc/cabuxa-7b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("huggyllama/llama-7b") model = PeftModel.from_pretrained(base_model, "irlab-udc/cabuxa-7b") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from irlab-udc/cabuxa-7b: direct link, hf CLI and curl.
- Browser
- Download file 16.8 MB
-
https://huggingface.co/irlab-udc/cabuxa-7b/resolve/main/adapter_model.bin
- Command line
-
hf download hf://irlab-udc/cabuxa-7b/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/irlab-udc/cabuxa-7b/resolve/main/adapter_model.bin
16.8 MB
- Xet hash:
- 9fa2d3fc8524d8302eb98a0932ba29e866b67674443f912a51f5ab6fc320da55
- Size of remote file:
- 16.8 MB
- SHA256:
- 60738809dad3be667363f7f757aae066d31d60e2762b86fcb73f7ef6e88d8eca
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