Text Classification
Transformers
Safetensors
PEFT
qwen3
sequence-classification
decision-scoring
fura
vllm
text-embeddings-inference
Instructions to use whadupapp/goff-lite with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use whadupapp/goff-lite with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="whadupapp/goff-lite")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("whadupapp/goff-lite") model = AutoModelForSequenceClassification.from_pretrained("whadupapp/goff-lite", device_map="auto") - PEFT
How to use whadupapp/goff-lite with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Commit History
25 days ago
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goff Lite v3: mixed typed-decisions + kev + synthetic, FuRA over attention and MLP, 6 epochs
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goff Lite v3: mixed typed-decisions + kev + synthetic, FuRA over attention and MLP, 6 epochs
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26 days ago
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Link training dataset and base model in card metadata; correct context window
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Update README.md
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27 days ago
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Upload merged Harrier Lite checkpoint
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initial commit
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