
### Model Description

This model classifies the uploaded imgage into various Indian cuisines. The categories are:
adhirasam, aloo_gobi, aloo_matar, aloo_methi, aloo_shimla_mirch, aloo_tikki, anarsa, ariselu, bandar_laddu, basundi, bhatura, bhindi_masala,
biryani, boondi, butter_chicken, chak_hao_kheer, cham_cham, chana_masala, chapati, chhena_kheeri, chicken_razala, chicken_tikka,chicken_tikka_masala,
chikki, daal_baati_churma, daal_puri, dal_makhani, dal_tadka, dharwad_pedha, doodhpak, double_ka_meetha, dum_aloo, gajar_ka_halwa, gavvalu, ghevar,
gulab_jamun, imarti, jalebi, kachori, kadai_paneer, kadhi_pakoda, kajjikaya, kakinada_khaja, kalakand, karela_bharta, kofta, kuzhi_paniyaram,
lassi, ledikeni, litti_chokha, lyangcha, maach_jhol, makki_di_roti_sarson_da_saag, malapua, misi_roti, misti_doi, modak, mysore_pak, naan, navrattan_korma,
palak_paneer, paneer_butter_masala, phirni, pithe, poha, poornalu, pootharekulu, qubani_ka_meetha, rabri, ras_malai, rasgulla, sandesh, shankarpali,
sheer_korma, sheera, shrikhand, sohan_halwa, sohan_papdi, sutar_feni, unni_appam



- **Developed by:** [Ashutosh Sharma]


{"language": ["en"], "license": "apache-2.0", "tags": ["code"]}
transformers pytorch vit image-classification code en license:apache-2.0 autotrain_compatible endpoints_compatible region:us