Update installation commands in openai_completions.py and contributing document and, update wandb_args description

docs/CONTRIBUTING.md

@@ -19,7 +19,7 @@ LM Evaluation Harness uses [ruff](https://github.com/astral-sh/ruff) for linting
 
 You can install linters and dev tools via
 
-```pip install lm_eval[dev]```
+```pip install lm_eval[dev]``` or ```pip install -e ".[dev]"```
 
 Then, run
 

docs/interface.md

@@ -50,7 +50,7 @@ This mode supports a number of command-line arguments, the details of which can
 
 * `--seed`: Set seed for python's random, numpy and torch.  Accepts a comma-separated list of 3 values for python's random, numpy, and torch seeds, respectively, or a single integer to set the same seed for all three.  The values are either an integer or 'None' to not set the seed. Default is `0,1234,1234` (for backward compatibility).  E.g. `--seed 0,None,8` sets `random.seed(0)` and `torch.manual_seed(8)`. Here numpy's seed is not set since the second value is `None`.  E.g, `--seed 42` sets all three seeds to 42.
 
-* `--wandb_args`:  Tracks logging to Weights and Biases for evaluation runs and includes args passed to `wandb.init`, such as `project` and `job_type`. Full list (here.)[https://docs.wandb.ai/ref/python/init]
+* `--wandb_args`:  Tracks logging to Weights and Biases for evaluation runs and includes args passed to `wandb.init`, such as `project` and `job_type`. Full list (here.)[https://docs.wandb.ai/ref/python/init]. e.g., ```--wandb_args project=test-project, name=test-run```
 
 ## External Library Usage
 

lm_eval/models/openai_completions.py

@@ -105,7 +105,7 @@ def __init__(
         except ModuleNotFoundError:
             raise Exception(
                 "attempted to use 'openai' LM type, but package `openai` or `tiktoken` are not installed. \
-    please install these via `pip install lm-eval[openai]` or `pip install -e .[openai]`",
+    please install these via `pip install lm-eval[openai]` or `pip install -e .\"[openai]\"`",
             )
         self.model = model
         self.base_url = base_url