diff --git a/README.md b/README.md
index 768e260..86fbfd8 100644
--- a/README.md
+++ b/README.md
@@ -1,8 +1,6 @@
# LLaMPPL + HuggingFace
-
[![docs](https://github.com/probcomp/hfppl/actions/workflows/docs.yml/badge.svg)](https://probcomp.github.io/hfppl)
-
LLaMPPL is a research prototype for language model probabilistic programming: specifying language generation tasks by writing probabilistic programs that combine calls to LLMs, symbolic program logic, and probabilistic conditioning. To solve these tasks, LLaMPPL uses a specialized sequential Monte Carlo inference algorithm. This technique, SMC steering, is described in [our recent workshop abstract](https://arxiv.org/abs/2306.03081).
@@ -96,4 +94,4 @@ Further documentation can be found at https://probcomp.github.io/hfppl.
## Installation
To get started, clone this repository and run `pip install .`
-The example `examples/hard_constraints.py` uses LLaMA2, which requires authorization from Meta. To run it, create a file `examples/hf_api_token.py`, with a constant `HF_AUTH_TOKEN` set to your HuggingFace API token. Alternatively, you can switch to a different (open) model by changing the first argument of `CachedCausalLM.from_pretrained` to another HuggingFace model identifier.
\ No newline at end of file
+The example `examples/hard_constraints.py` uses LLaMA2, which requires authorization from Meta. To run it, create a file `examples/hf_api_token.py`, with a constant `HF_AUTH_TOKEN` set to your HuggingFace API token. Alternatively, you can switch to a different (open) model by changing the first argument of `CachedCausalLM.from_pretrained` to another HuggingFace model identifier.
diff --git a/mkdocs.yml b/mkdocs.yml
index 7ee3d27..9aef663 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -2,6 +2,8 @@ site_name: LLaMPPL Docs
theme:
name: "material"
+ palette:
+ scheme: slate
markdown_extensions:
- pymdownx.highlight:
@@ -33,4 +35,4 @@ nav:
- batching.md
- caching.md
- immutability.md
- - Code Reference: reference/
\ No newline at end of file
+ - Code Reference: reference/