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
- Xet hash:
- e031a9ef4a9ed7fcdeffa7731a7bc866d3c40d6d2dbf7dc52d8e13615dce872e
- Size of remote file:
- 5.14 kB
- SHA256:
- 5f2d5fedb77a22fe76aee5a62b78b68ba867596873f026644134e10f7634f55e
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