diff --git a/bilby/core/sampler/base_sampler.py b/bilby/core/sampler/base_sampler.py
index 5f3cefade314f96bab6b5cbf90f23814729c1abb..a804309f918dfb3bf82f778691cd95e7d0e1e16a 100644
--- a/bilby/core/sampler/base_sampler.py
+++ b/bilby/core/sampler/base_sampler.py
@@ -39,6 +39,11 @@ class Sampler(object):
         The result class to use. By default, `bilby.core.result.Result` is used,
         but objects which inherit from this class can be given providing
         additional methods.
+    soft_init: bool, optional
+        Switch to enable a soft initialization that prevents the likelihood
+        from being tested before running the sampler. This is relevant when
+        using custom likelihoods that must NOT be initialized on the main thread
+        when using multiprocessing, e.g. when using tensorflow in the likelihood.
     **kwargs: dict
         Additional keyword arguments