Fix typos

README.md

@@ -233,14 +233,14 @@ at once. The `run_pretrained_openfold.py` script can enable this config option w
 `--long_sequence_inference` command line option
 
 #### Single-Sequence Model Inference
-To run inference for a sequence using the single sequence model, first you would need the ESM1-b embedding for the sequence. For this you need to set up the ESM model on your system ([ESM](https://www.github.com/facebookresearch/esm.git)). Once you have the the setup ready, use the following command in the ESM model directory to generate an embedding:
+To run inference for a sequence using the single-sequence model, first you would need the ESM-1b embedding for the sequence. For this you need to set up the ESM model on your system ([ESM](https://www.github.com/facebookresearch/esm.git)). Once you have the the setup ready, use the following command in the ESM model directory to generate an embedding:
 
 ```bash
 cd <esm_dir>
 python scripts/extract.py esm1b_t33_650M_UR50S <fasta> output_dir --include per_tok
 ```
 
-Once you have the `*.pt` embedding file, you can place it in that sequence's  alignments directory (same as that used by the MSA model of OF). That is, inside the top-level alignments directory, there will be one subdirectory for each sequence you want to run inference on, like so: `alignments_dir/{sequence_id}/{sequence_id}.pt`. You can also place a `*.hhr` files in the same directory, which can contain the details about the structures that you want to use as templates.
+Once you have the `*.pt` embedding file, you can place it in that sequence's  alignments directory (same as that used by the MSA model of OF). That is, inside the top-level alignments directory, there will be one subdirectory for each sequence you want to run inference on, like so: `alignments_dir/{sequence_id}/{sequence_id}.pt`. You can also place a `*.hhr` file in the same directory, which can contain the details about the structures that you want to use as templates.
 
 Now, you are ready to run inference:
 ```bash