Instructions to use daniel40/424d7de6-e9cf-4f1c-91c1-0a71050e5d95 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use daniel40/424d7de6-e9cf-4f1c-91c1-0a71050e5d95 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("fxmarty/tiny-dummy-qwen2") model = PeftModel.from_pretrained(base_model, "daniel40/424d7de6-e9cf-4f1c-91c1-0a71050e5d95") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from daniel40/424d7de6-e9cf-4f1c-91c1-0a71050e5d95: direct link, hf CLI and curl.
- Browser
- Download file 14.7 kB
-
https://huggingface.co/daniel40/424d7de6-e9cf-4f1c-91c1-0a71050e5d95/resolve/4d48b772007fe8806abdc34b213d0d404cbfb2b5/adapter_model.safetensors
- Command line
-
hf download hf://daniel40/424d7de6-e9cf-4f1c-91c1-0a71050e5d95@4d48b772007fe8806abdc34b213d0d404cbfb2b5/adapter_model.safetensors
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curl -L -o adapter_model.safetensors https://huggingface.co/daniel40/424d7de6-e9cf-4f1c-91c1-0a71050e5d95/resolve/4d48b772007fe8806abdc34b213d0d404cbfb2b5/adapter_model.safetensors
14.7 kB
- Xet hash:
- 83e2ba3b58459e5090f07f967a219aeed2288debcb61c001c37847c09c31cfea
- Size of remote file:
- 14.7 kB
- SHA256:
- 2b526ca670ef11b578825ede220a8c2ee374498184c93dfa6f812ff05a0045aa
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