Push FastAI model using huggingface_hub.

README.md

@@ -1,13 +1,32 @@
 ---
-license: apache-2.0
 tags:
-- vision
-- image-classification
-datasets:
-- iloncka/mosal
-library_name: fastai
+- fastai
 ---
 
-Finetuned from the weights from the [timm repository](https://github.com/rwightman/pytorch-image-models). This model is used in the same way as [ViT-base](https://huggingface.co/google/vit-base-patch16-224).
+# Amazing!
 
-Note that [safetensors] model requires torch 2.0 environment and fastai.
+🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
+
+# Some next steps
+1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
+
+2. Create a demo in Gradio or Streamlit using 🤗 Spaces ([documentation here](https://huggingface.co/docs/hub/spaces)).
+
+3. Join the fastai community on the [Fastai Discord](https://discord.com/invite/YKrxeNn)!
+
+Greetings fellow fastlearner 🤝! Don't forget to delete this content from your model card.
+
+
+---
+
+
+# Model card
+
+## Model description
+More information needed
+
+## Intended uses & limitations
+More information needed
+
+## Training and evaluation data
+More information needed

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d4c5347246945beef35f01636e4820bf9be424042f395d40177f9467371a1f24
+size 22711686

pyproject.toml

@@ -0,0 +1,3 @@
+[build-system]
+requires = ["setuptools>=40.8.0", "wheel", "python=3.10.12", "fastai=2.7.13", "fastcore=1.5.29"]
+build-backend = "setuptools.build_meta:__legacy__"