Text Classification
Transformers
ONNX
Safetensors
English
roberta
editlens
ai-detection
quantization
local-inference
text-embeddings-inference
Instructions to use CoderBak/editlens_roberta_modelkit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CoderBak/editlens_roberta_modelkit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CoderBak/editlens_roberta_modelkit")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CoderBak/editlens_roberta_modelkit") model = AutoModelForSequenceClassification.from_pretrained("CoderBak/editlens_roberta_modelkit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
24 days ago
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Publish attributed EditLens model kit: FP32 default, FP16, experimental INT8
Verified signatureDerived from pangram/editlens_roberta-large at f93e1ace74528cfb48f337ab2fe946fb71a728cb. Preserve CC BY-NC-SA 4.0, authorship, original checkpoint/tokenizer and model card. Include reproducible conversions, SHA-256 manifest, and numerical reports; disclose INT8 parity failure.f7cb4b0