Fix the quickstart description?

README.md

@@ -124,7 +124,7 @@ Lighteval offers the following entry points for model evaluation:
 Did not find what you need ? You can always make your custom model API by following [this guide](https://huggingface.co/docs/lighteval/main/en/evaluating-a-custom-model)
 - `lighteval custom`: Evaluate custom models (can be anything)
 
-Here's a **quick command** to evaluate using the *Accelerate backend*:
+Here's a **quick command** to evaluate using a remote inference service:
 
 ```shell
 lighteval eval "hf-inference-providers/openai/gpt-oss-20b" gpqa:diamond

docs/source/index.mdx

@@ -9,7 +9,7 @@ and see how your models stack up.
 
 ### 🚀 **Multi-Backend Support**
 Evaluate your models using the most popular and efficient inference backends:
-- `eval`: Use [inspect-ai](https://inspect.aisi.org.uk/) as backend to evaluate and inspect your models ! (prefered way)
+- `eval`: Use [inspect-ai](https://inspect.aisi.org.uk/) as backend to evaluate and inspect your models! (prefered way)
 - `transformers`: Evaluate models on CPU or one or more GPUs using [🤗
   Accelerate](https://github.com/huggingface/transformers)
 - `nanotron`: Evaluate models in distributed settings using [⚡️

src/lighteval/main_inspect.py

@@ -565,4 +565,4 @@ def bundle(log_dir: str, output_dir: str, overwrite: bool = True, repo_id: str |
         "tiny_benchmarks",
     ]
     model = "hf-inference-providers/meta-llama/Llama-3.1-8B-Instruct:nebius"
-    eval(models=[model], tasks=task)
+    eval(models=[model], tasks=tasks[0])