Instructions to use daniel40/b2e397a2-a7ee-441d-8def-2435de95f25d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use daniel40/b2e397a2-a7ee-441d-8def-2435de95f25d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("fxmarty/tiny-llama-fast-tokenizer") model = PeftModel.from_pretrained(base_model, "daniel40/b2e397a2-a7ee-441d-8def-2435de95f25d") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from daniel40/b2e397a2-a7ee-441d-8def-2435de95f25d: direct link, hf CLI and curl.
- Browser
- Download file 97.7 kB
-
https://huggingface.co/daniel40/b2e397a2-a7ee-441d-8def-2435de95f25d/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://daniel40/b2e397a2-a7ee-441d-8def-2435de95f25d/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/daniel40/b2e397a2-a7ee-441d-8def-2435de95f25d/resolve/main/adapter_model.safetensors
97.7 kB
- Xet hash:
- a0d82c6cee429c75c1266789f54d29f556dae76a69261824acb22a8d1c434f3c
- Size of remote file:
- 97.7 kB
- SHA256:
- 926fb5c8cf55fed43a51fc2ffac8d9003d30aa0bb4fedb6bedda7aae58fe2872
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