Update README.md

README.md

@@ -9,7 +9,6 @@ This is the official pre-trained model introduced in [DNA language model GROVER
 
 
     from transformers import AutoTokenizer, AutoModelForMaskedLM
-    import torch
 
     # Import the tokenizer and the model
     tokenizer = AutoTokenizer.from_pretrained("PoetschLab/GROVER")
@@ -17,7 +16,7 @@ This is the official pre-trained model introduced in [DNA language model GROVER
 
 
 Some preliminary analysis shows that sequence re-tokenization using Byte Pair Encoding (BPE) changes significantly if the sequence is less than 50 nucleotides long. Longer than 50 nucleotides, you should still be careful with sequence edges.
-We advice to add 100 nucleotides at the beginning and end of every sequence in order to garantee that your sequence is represented with the same tokens as the original tokenization.
+We advice to add 100 nucleotides at the beginning and end of every sequence in order to guarantee that your sequence is represented with the same tokens as the original tokenization.
 We also provide the tokenized chromosomes with their respective nucleotide mappers (They are available in the folder tokenized chromosomes).
 
 ### BibTeX entry and citation info