This is a Lightning .ckpt checkpoint, not a native Hugging Face Transformers model. Use it with the original PARSeq codebase for inference or further fine-tuning.

Load for inference

python

from strhub.models.parseq.system import PARSeq

model = PARSeq.load_from_checkpoint("checkpoints/last.ckpt")
model.eval()

Continue fine-tuning

bash

python train.py \
  charset=malayalam \
  dataset=malayalam \
  data.root_dir=data \
  data.train_dir=YOUR_LMDB_DIR \
  data.normalize_unicode=false \
  trainer.accelerator=gpu \
  trainer.devices=1 \
  ckpt_path=checkpoints/last.ckpt

Notes

Validation in the referenced run used a very small validation split, so those metrics should not be treated as definitive.
This checkpoint is best used as a reusable starting point for further evaluation and fine-tuning.

magles/parseq-malayalam-synth-v0

PARSeq Malayalam OCR

Model details

Important note

Load for inference

Continue fine-tuning

Notes

magles/
parseq-malayalam-synth-v0