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Update README.md

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@@ -46,23 +46,6 @@ the `rescaling_factor` argument in the config to `num_dna_tokens_inference / max
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  from transformers import AutoTokenizer, AutoModel
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  import torch
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- features = [
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- "protein_coding_gene",
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- "lncRNA",
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- "exon",
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- "intron",
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- "splice_donor",
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- "splice_acceptor",
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- "5UTR",
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- "3UTR",
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- "CTCF-bound",
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- "polyA_signal",
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- "enhancer_Tissue_specific",
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- "enhancer_Tissue_invariant",
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- "promoter_Tissue_specific",
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- "promoter_Tissue_invariant",
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- ]
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-
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  tokenizer = AutoTokenizer.from_pretrained("InstaDeepAI/segment_nt", trust_remote_code=True)
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  model = AutoModel.from_pretrained("InstaDeepAI/segment_nt", trust_remote_code=True)
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  from transformers import AutoTokenizer, AutoModel
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  import torch
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  tokenizer = AutoTokenizer.from_pretrained("InstaDeepAI/segment_nt", trust_remote_code=True)
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  model = AutoModel.from_pretrained("InstaDeepAI/segment_nt", trust_remote_code=True)
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