Text Generation
PEFT
Safetensors
English
lora
text-classification
finance
banking
complaints
cfpb
regulated-industries
conversational
Instructions to use Gydeai/complaint-classifier-us-cfpb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Gydeai/complaint-classifier-us-cfpb with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-8B") model = PeftModel.from_pretrained(base_model, "Gydeai/complaint-classifier-us-cfpb") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Gydeai/complaint-classifier-us-cfpb: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/Gydeai/complaint-classifier-us-cfpb/resolve/main/tokenizer.json
- Command line
-
hf download hf://Gydeai/complaint-classifier-us-cfpb/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Gydeai/complaint-classifier-us-cfpb/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 9f75d39906edc437cd5b1cd459cc03e97a8f64bb838c6e69b5e6bd47881fa8c8
- Size of remote file:
- 11.4 MB
- SHA256:
- be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
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