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README.md

@@ -1,46 +1,3 @@
----
-license: apache-2.0
-base_model:
-- Snowflake/snowflake-arctic-embed-l
----
-
-***This model is a neuron compiled version of https://huggingface.co/Snowflake/snowflake-arctic-embed-l ***
-
-It was compiled on version 2.20 of the Neuron SDK.  You may need to run the compilation process again.
-
-See https://huggingface.co/docs/optimum-neuron/en/inference_tutorials/sentence_transformers for more details
-
-For information on how to run on SageMaker:  https://huggingface.co/docs/optimum-neuron/en/inference_tutorials/sentence_transformers
-
-To run:
-```
-
-from optimum.neuron import NeuronModelForSentenceTransformers
-from transformers import AutoTokenizer
-model_id = "jburtoft/snowflake-arctic-embed-l"
-
-# Use the line below if you have to compile the model yourself
-#model_id = "snowflake-arctic-embed-l-inf2"
-
-
-model = NeuronModelForSentenceTransformers.from_pretrained(model_id)
-tokenizer = AutoTokenizer.from_pretrained(model_id)
-
-# Run inference
-prompt = "I like to eat apples"
-encoded_input = tokenizer(prompt, return_tensors='pt')
-outputs = model(**encoded_input)
-
-token_embeddings = outputs.token_embeddings
-sentence_embedding = outputs.sentence_embedding:
-
-print(f"token embeddings: {token_embeddings.shape}") # torch.Size([1, 7, 1024])
-print(f"sentence_embedding: {sentence_embedding.shape}") # torch.Size([1, 1024])
-
-```
-
-To compile :
-```
-optimum-cli export neuron -m Snowflake/snowflake-arctic-embed-l --sequence_length 512 --batch_size 1 --task feature-extraction snowflake-arctic-embed-l-inf2
-```
-
+---
+license: apache-2.0
+---