Update README.md

README.md

@@ -18,7 +18,7 @@ All the models have a comparable model size between 90 MB and 150 MB, BPE tokeni
 ### Model Sources
 
 - **Repository:** [Plant DNA LLMs](https://github.com/zhangtaolab/plant_DNA_LLMs)
-- **Manuscript:** [Versatile applications of foundation DNA language models in plant genomes]() 
+- **Manuscript:** [Versatile applications of foundation DNA large language models in plant genomes]() 
 
 ### Architecture
 
@@ -47,7 +47,7 @@ tokenizer = AutoTokenizer.from_pretrained(f'zhangtaolab/{model_name}', trust_rem
 sequences = ['TACTCTAATCGTATCAGCTGCACTTGCGTACAGGCTACCGGCGTCCTCAGCCACGTAAGAAAAGGCCCAATAAAGGCCCAACTACAACCAGCGGATATATATACTGGAGCCTGGCGAGATCACCCTAACCCCTCACACTCCCATCCAGCCGCCACCAGGTGCAGAGTGTT',
              'ATTTCAAAACTAGTTTTCTATAAACGAAAACTTATATTTATTCCGCTTGTTCCGTTTGATCTGCTGATTCGACACCGTTTTAACGTATTTTAAGTAAGTATCAGAAATATTAATGTGAAGATAAAAGAAAATAGAGTAAATGTAAAGGAAAATGCATAAGATTTTGTTGA']
 pipe = pipeline('text-classification', model=model, tokenizer=tokenizer,
-                trust_remote_code=True, top_k=None)
+                trust_remote_code=True, function_to_apply="none")
 results = pipe(sequences)
 print(results)