Instructions to use nesanchezo/model_handwritenNumbers-nesanchezo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nesanchezo/model_handwritenNumbers-nesanchezo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="nesanchezo/model_handwritenNumbers-nesanchezo") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("nesanchezo/model_handwritenNumbers-nesanchezo") model = AutoModelForImageClassification.from_pretrained("nesanchezo/model_handwritenNumbers-nesanchezo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (937d89619222c7f68ee4afeeb82855c736b6f60a) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>df08735
-
update model card README.md
5948049 -
Primer prueba con un data set no tan grande! 🤗
abf66e9
-
update model card README.md
396952e -
Model save
d5ccd7c -
Training in progress, step 5500
f4c7bdc -
Training in progress, step 5000
702397e -
Training in progress, step 4500
0de6eff -
Training in progress, step 4000
1ea0767 -
Training in progress, step 3500
606d293 -
Training in progress, step 3000
38449e1 -
Training in progress, step 2500
ac4d3ee -
Training in progress, step 2000
5bfdf59 -
Training in progress, step 1500
3d35acd -
Training in progress, step 1000
207266a -
Training in progress, step 500
21b34fa -
initial commit
08eae00