Model checkpoints:

google/canine-c: Pre-trained with autoregressive character loss,
    12-layer, 768-hidden, 12-heads, 121M parameters (size ~500 MB).
google/canine-s: Pre-trained with subword loss, 12-layer,
    768-hidden, 12-heads, 121M parameters (size ~500 MB).

Usage example
CANINE works on raw characters, so it can be used without a tokenizer:
thon