google/canine-c
feature-extraction model by google
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
Pretrained CANINE model on 104 languages using a masked language modeling (MLM) objective. It was introduced in the paper CANINE: Pre-training an Efficient Tokenization-Free Encoder for Language Representation and first released in this repository. What's special about CANINE is that it doesn't require an explicit tokenizer (such as WordPiece or SentencePiece) as other models like BERT and RoBERTa. Instead, it directly operates at a character level: each character is turned into its Unicode code point. This means that input processing is trivial and can typically be accomplished as: The ord() function is part of Python, and turns each character into its Unicode code point. Disclaimer: The team releasing CANINE did not write a model card for this model so this model card has been written by the Hugging Face team. CANINE is a transformers model pretrained on a large corpus of multilingual data in a self-supervised fashion, similar to BERT.…
Read the full model card ↗ · Preview checked 2026-11-01T12:41:39.849Z
Inside the original model card — Document outline
- CANINE-c (CANINE pre-trained with autoregressive character loss)
- Model description
- Intended uses & limitations
- How to use
- Training data
- BibTeX entry and citation info
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Links from the model card
References supplied by the publisher, not independently verified endorsements. Check the destination before downloading files or entering credentials.
Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
google/canine-c is a feature-extraction model repository published by google on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- feature-extraction
- Library
- transformers
- Recent downloads (30 days)
- 148,281
- Cumulative likes
- 48
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 132,099,328
- Architecture
- CanineModel
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2022-03-02T23:29:05.000Z
- Last modified
- 2024-04-29T10:16:15.000Z
Compatibility and lineage
Reported languages: multilingual, af, sq, ar, an, hy, ast, az, ba, eu, bar, be, bn, inc, bs, br, bg, my, ca, ceb, ce, zh, cv, hr, cs, da, nl, en, et, fi, fr, gl, ka, de, el, gu, ht, he, hi, hu
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:54:29.511Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.