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Update README.md
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README.md
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@@ -42,23 +42,6 @@ A small snippet of code is given here in order to retrieve both logits and embed
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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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tokenizer = AutoTokenizer.from_pretrained("InstaDeepAI/segment_nt_multi_species", trust_remote_code=True)
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model = AutoModel.from_pretrained("InstaDeepAI/segment_nt_multi_species", 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_multi_species", trust_remote_code=True)
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model = AutoModel.from_pretrained("InstaDeepAI/segment_nt_multi_species", trust_remote_code=True)
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