restore README and add usage

README.md

@@ -76,10 +76,6 @@ Data generated by Elizabeth Postema using DrawerDissect on Field Museum specimen
 
 <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
 
-#### Preprocessing [optional]
-
-[More Information Needed]
-
 
 #### Training Hyperparameters
 
@@ -119,12 +115,52 @@ Subspecies:
 - Specimen-weighted precision: 85.0%
 - Specimen-weighted recall: 89.0%
 
+## Usage
+
+The learner can be loaded to fastai with:
+
+```{python}
+from huggingface_hub import from_pretrained_fastai
+learn = from_pretrained_fastai("brunoasm/eva02_large_patch14_448.Cicindela_ID_FMNH")
+```
+
+To avoid loading a pickle file and loading the model weights only, you can use:
+```{python}
+import requests
+import io
+from fastai.vision.all import *
+
+def load_model_from_url(learn, url):
+    try:
+        print("Downloading model...")
+        response = requests.get(url, stream=True)
+        response.raise_for_status()
+        
+        buffer = io.BytesIO(response.content)
+        learn.load(buffer, with_opt=False)
+        print("Model loaded successfully!")
+        
+    except Exception as e:
+        print(f"Error loading model: {e}")
+
+url = 'https://huggingface.co/brunoasm/eva02_large_patch14_448.Cicindela_ID_FMNH/resolve/main/pytorch_model.bin'
+learn = vision_learner(dls, "eva02_large_patch14_448.mim_m38m_ft_in22k_in1k")
+
+response = requests.get(url, stream=True)
+response.raise_for_status()
+buffer = io.BytesIO(response.content)
+learn.load(buffer, with_opt=False)
+
+```
+where `dls` is a previously created dataloader.
 
 
 ## Citation 
 
 <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
 
+Postema, E. G., Briscoe, L., Harder, C., Hancock, G. R. A., Guarnieri, L. D., Eisel, T., Welch, K., de Souza, D., Phillip, D., Baquiran, R., Sepulveda, T., Ree, R., & de Medeiros, B. A. S. (in preparation). DrawerDissect: Whole-drawer insect imaging, segmentation, and transcription using AI.
+
 **BibTeX:**
 
 [More Information Needed]
@@ -136,4 +172,4 @@ Subspecies:
 
 ## Model Card Authors
 
-Bruno de Medeiros, Negaunee Assistant Curator of Pollinating Insects, Field Museum
+Bruno de Medeiros, Negaunee Assistant Curator of Pollinating Insects, Field Museum