fix(README): minor clean-ups

README.md

@@ -41,10 +41,9 @@ This model has only been trained on self-supervised data and not yet been fine-t
 ```python
 import torch
 import torch.nn.functional as F
-from transformers import AutoTokenizer, AutoModel, AutoConfig
+from transformers import AutoTokenizer, AutoModel
 
 tokenizer = AutoTokenizer.from_pretrained("facebook/nllb-200-distilled-600M")
-
 model = AutoModel.from_pretrained(
     "fdschmidt93/NLLB-LLM2Vec-Meta-Llama-31-8B-Instruct-mntp-unsup-simcse",
     trust_remote_code=True,
@@ -94,6 +93,7 @@ from peft.tuners.lora.config import LoraConfig
 
 # Only attach LoRAs to the linear layers of LLM2Vec inside NLLB-LLM2Vec
 lora_config = LoraConfig(
+    rank = 16,
     lora_alpha = 32,
     target_modules = r".*llm2vec.*(self_attn\.(q|k|v|o)_proj|mlp\.(gate|up|down)_proj).*",
     bias = "none",
@@ -126,4 +126,4 @@ If you are using `NLLB-LLM2Vec` in your work, please cite
 }
 ```
 
-The work has been accepted to EMNLP findings. The Bibtex will therefore be updated when the paper will be released on ACLAnthology.
+The work has been accepted to findings of EMNLP. The Bibtex will therefore be updated when the paper will be released on ACLAnthology.