Text Classification
Transformers
ONNX
Safetensors
French
English
xlm-roberta
gaperon
quality-classifier
document-quality
data-curation
text-embeddings-inference
Instructions to use almanach/gaperon-quality-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use almanach/gaperon-quality-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="almanach/gaperon-quality-classifier")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("almanach/gaperon-quality-classifier") model = AutoModel.from_pretrained("almanach/gaperon-quality-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- acfc362809eb9e6563092d7ab5ee6f03628870b06e2101fe315e9907bfd1ee64
- Size of remote file:
- 61.3 MB
- SHA256:
- 1b05f53e32927389de39388f3049315b4169bf5ac73a0cb1b97ad14384170204
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