Instructions to use FINGU-AI/QWEN2.5-32B-e1-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use FINGU-AI/QWEN2.5-32B-e1-adapter with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/qwen2.5-32b-instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "FINGU-AI/QWEN2.5-32B-e1-adapter") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from FINGU-AI/QWEN2.5-32B-e1-adapter: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/FINGU-AI/QWEN2.5-32B-e1-adapter/resolve/main/tokenizer.json
- Command line
-
hf download hf://FINGU-AI/QWEN2.5-32B-e1-adapter/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/FINGU-AI/QWEN2.5-32B-e1-adapter/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- d817fb18afb49dc6ae84191432324eaeaa508bcf5776fe9746a50efd510f89e3
- Size of remote file:
- 11.4 MB
- SHA256:
- 10d30d095041dab99527f08460f808f24b1f3027ac9982058df9734d6927f0cd
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