Image Classification
Transformers
PyTorch
TensorBoard
gpt2
text-generation
huggingpics
Eval Results (legacy)
text-generation-inference
Instructions to use mjsp/india-sweet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mjsp/india-sweet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="mjsp/india-sweet") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("mjsp/india-sweet") model = AutoModelForCausalLM.from_pretrained("mjsp/india-sweet") - Notebooks
- Google Colab
- Kaggle
india-sweet
Autogenerated by HuggingPics🤗🖼️
Create your own image classifier for anything by running the demo on Google Colab.
Report any issues with the demo at the github repo.
Example Images
gulab jamun
jalebi
rasgulla
- Downloads last month
- 9
Evaluation results
- Accuracyself-reported1.000


