Instructions to use ErrorAI/edb390c9-8f50-4cda-9e39-d20553d3b639 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ErrorAI/edb390c9-8f50-4cda-9e39-d20553d3b639 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "ErrorAI/edb390c9-8f50-4cda-9e39-d20553d3b639") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/adapter_model.safetensors from ErrorAI/edb390c9-8f50-4cda-9e39-d20553d3b639: direct link, hf CLI and curl.
- Browser
- Download file 17.6 MB
-
https://huggingface.co/ErrorAI/edb390c9-8f50-4cda-9e39-d20553d3b639/resolve/main/last-checkpoint/adapter_model.safetensors
- Command line
-
hf download hf://ErrorAI/edb390c9-8f50-4cda-9e39-d20553d3b639/last-checkpoint/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/ErrorAI/edb390c9-8f50-4cda-9e39-d20553d3b639/resolve/main/last-checkpoint/adapter_model.safetensors
17.6 MB
- Xet hash:
- a4f17176aabe5cb69194de47c67b842c4d49f71246b5736614135d299c318ed2
- Size of remote file:
- 17.6 MB
- SHA256:
- 0c99ed63ed9c01691698aeea87d11744831efb584d8f909bcd8b3bf08137e687
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