Instructions to use danielmalencar/sobreDaniel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use danielmalencar/sobreDaniel with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "danielmalencar/sobreDaniel") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from danielmalencar/sobreDaniel: direct link, hf CLI and curl.
- Browser
- Download file 16.8 MB
-
https://huggingface.co/danielmalencar/sobreDaniel/resolve/main/adapter_model.bin
- Command line
-
hf download hf://danielmalencar/sobreDaniel/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/danielmalencar/sobreDaniel/resolve/main/adapter_model.bin
16.8 MB
- Xet hash:
- 0b6be4201e0401d9c7147aff6a2fef9dc0e43d53e1199019eaad9b2cba49ba3a
- Size of remote file:
- 16.8 MB
- SHA256:
- 384f9ece3402f22bbd5ac11dfea59222324f36057a9fe3b70987713f437d7957
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