Instructions to use dvsth/LEGIT-TrOCR-MT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dvsth/LEGIT-TrOCR-MT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="dvsth/LEGIT-TrOCR-MT", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("dvsth/LEGIT-TrOCR-MT", trust_remote_code=True) model = AutoModel.from_pretrained("dvsth/LEGIT-TrOCR-MT", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:8778f1a4b36e9b505713bfc968c8737e63642ea5ec4af900998562110569b83b
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size 348998828
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