Instructions to use mi23/plants-morpho with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mi23/plants-morpho with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mi23/plants-morpho")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mi23/plants-morpho") model = AutoModelForTokenClassification.from_pretrained("mi23/plants-morpho", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from mi23/plants-morpho: direct link, hf CLI and curl.
- Browser
- Download file 495 MB
-
https://huggingface.co/mi23/plants-morpho/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://mi23/plants-morpho/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/mi23/plants-morpho/resolve/main/pytorch_model.bin
495 MB
- Xet hash:
- e0d159122867de573f560a5d662a3fc6d3d1c8d5eb6fa8f23ee2af64b45944f8
- Size of remote file:
- 495 MB
- SHA256:
- 323320f0cc3af0561db1cb1701cc22c2485d64a341637fc9f17fd899bb83dab2
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