Tasks and inputs
gilf/french-camembert-postag-model is listed for Token classification. It accepts text and produces labels. Use the publisher’s input format and preprocessing for your chosen deployment.
SyncDev model directory · Profile updated Oct 7, 2026
Hugging Face repository for Token classification.
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Recorded modality support shows what this model can accept and produce. An undocumented modality is shown as unknown rather than assumed to be unsupported.
Accepts
Produces
gilf/french-camembert-postag-model is a Hugging Face repository returned by the public Token classification task feed. Its recorded download count is 192,478 and it has 9 likes when the repository snapshot was collected. Popularity is useful for discovery, but it is not a performance ranking or a guarantee of suitability.
This record is categorized for Token classification. A task category describes the intended machine-learning problem; it does not prove that every version, checkpoint, quantization, or deployment method produces the same quality. Teams should read the model card and test representative inputs before choosing it.
The public repository lists transformers as its library metadata. Its recorded tags include transformers, pytorch, tf, safetensors, camembert, token-classification, fr, endpoints_compatible. These source details are retained so readers can trace this directory entry back to the repository instead of relying on copied descriptions.
Test entity boundaries, punctuation, nested entities and labels on your real documents. Score span-level precision and recall and retain offsets so downstream systems can find the exact text.
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gilf/french-camembert-postag-model is listed for Token classification. It accepts text and produces labels. Use the publisher’s input format and preprocessing for your chosen deployment.
Measure a completed task using the prompts, documents and tools your application will use. Include reasoning and retries in the result.
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