Instructions to use filipesantoscv11/88d59005-0232-4218-a70f-21a7c1a2bb3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use filipesantoscv11/88d59005-0232-4218-a70f-21a7c1a2bb3b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b") model = PeftModel.from_pretrained(base_model, "filipesantoscv11/88d59005-0232-4218-a70f-21a7c1a2bb3b") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from filipesantoscv11/88d59005-0232-4218-a70f-21a7c1a2bb3b: direct link, hf CLI and curl.
- Browser
- Download file 671 MB
-
https://huggingface.co/filipesantoscv11/88d59005-0232-4218-a70f-21a7c1a2bb3b/resolve/main/adapter_model.bin
- Command line
-
hf download hf://filipesantoscv11/88d59005-0232-4218-a70f-21a7c1a2bb3b/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/filipesantoscv11/88d59005-0232-4218-a70f-21a7c1a2bb3b/resolve/main/adapter_model.bin
671 MB
- Xet hash:
- 43845e96ef9b424235a711b084d23be1407af3394bdb2c5fe4a1afd5781aed3b
- Size of remote file:
- 671 MB
- SHA256:
- cc4034eb403940c661d8fa012fbe4f8a3081172ccb89c327526d2ba08f547701
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