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taymoss/sermon-boundary-qwen3-8b-lora
sermon-boundary-qwen3-8b-lora is a machine learning model from taymoss. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
Detects preached sermon start/end times in Episcopal/Anglican full worship service transcripts.
Downloads · 30 days
11
22% of all-time downloads
All-time downloads
50
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.safetensors349 MB · 96%
From the Hugging Face model README
Detects preached sermon start/end times in Episcopal/Anglican full worship service transcripts.
Qwen/Qwen3-8B
from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
base = "Qwen/Qwen3-8B"
adapter = "taymoss/sermon-boundary-qwen3-8b-lora"
tokenizer = AutoTokenizer.from_pretrained(adapter, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(
base, torch_dtype=torch.bfloat16, trust_remote_code=True, device_map="auto"
)
model = PeftModel.from_pretrained(model, adapter)
| Metric | Value |
|---|---|
| parse_success_rate | n/a |
| detection_accuracy | n/a |
| mean_sermon_iou | n/a |
| mean_start_error_sec | n/a |
| mean_end_error_sec | n/a |