Instructions to use coredog64/fao-speciescode-handwritten with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use coredog64/fao-speciescode-handwritten with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("image-to-text", model="coredog64/fao-speciescode-handwritten")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("coredog64/fao-speciescode-handwritten") model = AutoModelForMultimodalLM.from_pretrained("coredog64/fao-speciescode-handwritten", device_map="auto") - Notebooks
- Google Colab
- Kaggle
metadata
license: mit
datasets:
- coredog64/fao-species-codes-handwritten-small
metrics:
- cer
base_model:
- microsoft/trocr-base-handwritten
library_name: transformers
tags:
- image-to-text
language:
- en
Handwritten text recognition model for FAO Species Codes.
This model was explicitly trained with transformers==4.35.2. The same version should be used for inference.