metagene-ai
/

METAGENE-1

Feature Extraction

text-generation

text-generation-inference

Inference Endpoints

Model card Files Files and versions Community

oliu-io commited on Jan 5

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@@ -29,7 +29,7 @@ model = AutoModelForCausalLM.from_pretrained("metagene-ai/METAGENE-1", torch_dty
 # Example input sequence
 input_sequence = "TCACCGTTCTACAATCCCAAGCTGGAGTCAAGCTCAACAGGGTCTTC"
-# Tokenize the input sequence and truncate to the first 12 tokens
 input_tokens = tokenizer.encode(input_sequence, return_tensors="pt", add_special_tokens=False)
 # Generate output from the model with a max sequence length of 32 tokens

 # Example input sequence
 input_sequence = "TCACCGTTCTACAATCCCAAGCTGGAGTCAAGCTCAACAGGGTCTTC"
+# Tokenize the input sequence
 input_tokens = tokenizer.encode(input_sequence, return_tensors="pt", add_special_tokens=False)
 # Generate output from the model with a max sequence length of 32 tokens