Update README.md

README.md

@@ -57,68 +57,42 @@ You can collaborate with your organization, upload and showcase your own models
 </a>
 <div class="lg:col-span-3">
 	<p class="mb-4">
-		To upload your Keras models to the Hub, you can use the <a
-			href="https://github.com/huggingface/huggingface_hub/blob/1f83ed230932128fba8bfe2a7f0c78df66e6e3ee/src/huggingface_hub/keras_mixin.py#L60"
-			>push_to_hub_keras</a
+		To upload your Sentence Transformers models to the Hub, you can use the <a
+			href="https://github.com/UKPLab/sentence-transformers/blob/master/sentence_transformers/SentenceTransformer.py#L417"
+			>save_to_hub</a
 		>
-		function.
+		function within the Sentence Transformers library.
 	</p>
 	<div
 		class="p-4 bg-gradient-to-b from-gray-50-to-white border border-gray-100 rounded-lg relative mb-4"
 	>
 		<pre
 			class="break-words leading-1 whitespace-pre-line text-xs md:text-sm text-gray-800">
-!pip install huggingface-hub
+!pip install -U sentence-transformers
 !huggingface-cli login
-from huggingface_hub.keras_mixin import push_to_hub_keras
-push_to_hub_keras(model = model, repo_url = "https://huggingface.co/your-username/your-awesome-model")
+from sentence_transformers import save_to_hub
+save_to_hub(repo_name = 'cool_new_model')
 	</pre>
 	</div>
 </p>
 <div class="lg:col-span-3">
 	<p class="mb-4">
-		To load Keras models from the 🤗Hub, use <a
-			href="https://github.com/huggingface/huggingface_hub/blob/d3ba39a69bb5570eb7f31ce76a19b53fdc89728b/src/huggingface_hub/keras_mixin.py#L56"
-			>from_pretrained_keras</a
+		To load Sentence Transformers models from the 🤗Hub, use the <a
+			href="https://github.com/UKPLab/sentence-transformers/blob/master/sentence_transformers/SentenceTransformer.py#L33"
+			>SentenceTransformer</a
 		>
-		function.
+		class.
 	</p>
 	<div
 		class="p-4 bg-gradient-to-b from-gray-50-to-white border border-gray-100 rounded-lg relative mb-4"
 	>
 		<pre
 			class="break-words leading-1 whitespace-pre-line text-xs md:text-sm text-gray-800">
-!pip install huggingface-hub
-!huggingface-cli login
-from huggingface_hub.keras_mixin import from_pretrained_keras
-from_pretrained_keras("your-username/your-awesome-model)
+!pip install -U sentence-transformers
+from sentence_transformers import SentenceTransformer
+model = SentenceTransformer("your-username/your-awesome-model")
 	</pre>
 	</div>
 <div class="lg:col-span-1">
-	<p class="mb-4">
-		If you'd like to upload 🤗Transformers based Keras checkpoints and let us host your metrics interactively in the repo in with TensorBoard, use <a
-			href="https://huggingface.co/transformers/v4.12.5/_modules/transformers/keras_callbacks.html#PushToHubCallback"
-			>PushToHubCallback</a
-		>
-		like follows:
-	</p>
-	<div
-		class="p-4 bg-gradient-to-b from-gray-50-to-white border border-gray-100 rounded-lg relative mb-4"
-	>
-		<pre
-			class="break-words leading-1 whitespace-pre-line text-xs md:text-sm text-gray-800">
-!pip install huggingface-hub
-!huggingface-cli login
-from transformers.keras_callbacks import PushToHubCallback
-from tensorflow.keras.callbacks import TensorBoard
-tensorboard_callback = TensorBoard(log_dir = "./logs/tensorboard)
-push_to_hub_callback = PushToHubCallback(output_dir="./logs", 
-										tokenizer=tokenizer,
-										hub_model_id=model_id)
-
-callbacks = [tensorboard_callback, push_to_hub_callback]
-model.fit(..., callbacks=callbacks, ...)
-
-</pre>
 
 </div>