Text Classification
Transformers
Safetensors
English
distilbert
human-vs-machine
synthetic-data-detection
data-quality
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use akaruineko/qltan-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use akaruineko/qltan-1.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="akaruineko/qltan-1.0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("akaruineko/qltan-1.0") model = AutoModelForSequenceClassification.from_pretrained("akaruineko/qltan-1.0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 3
Browse files- model.safetensors +1 -1
model.safetensors
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