Update README.md

README.md

@@ -59,7 +59,6 @@ Here is an incomplate list of clients and libraries that are known to support GG
 * [LM Studio](https://lmstudio.ai/), an easy-to-use and powerful local GUI for Windows and macOS (Silicon), with GPU acceleration.
 * [LoLLMS Web UI](https://github.com/ParisNeo/lollms-webui), a great web UI with many interesting and unique features, including a full model library for easy model selection.
 * [Faraday.dev](https://faraday.dev/), an attractive and easy to use character-based chat GUI for Windows and macOS (both Silicon and Intel), with GPU acceleration.
-* [ctransformers](https://github.com/marella/ctransformers), a Python library with GPU accel, LangChain support, and OpenAI-compatible AI server.
 * [llama-cpp-python](https://github.com/abetlen/llama-cpp-python), a Python library with GPU accel, LangChain support, and OpenAI-compatible API server.
 * [candle](https://github.com/huggingface/candle), a Rust ML framework with a focus on performance, including GPU support, and ease of use.
 
@@ -207,44 +206,11 @@ For other parameters and how to use them, please refer to [the llama.cpp documen
 
 Further instructions here: [text-generation-webui/docs/llama.cpp.md](https://github.com/oobabooga/text-generation-webui/blob/main/docs/llama.cpp.md).
 
-## How to run from Python code
-
-You can use GGUF models from Python using the [llama-cpp-python](https://github.com/abetlen/llama-cpp-python) or [ctransformers](https://github.com/marella/ctransformers) libraries.
-
-### How to load this model in Python code, using ctransformers
-
-#### First install the package
-
-Run one of the following commands, according to your system:
-
-```shell
-# Base ctransformers with no GPU acceleration
-pip install ctransformers
-# Or with CUDA GPU acceleration
-pip install ctransformers[cuda]
-# Or with AMD ROCm GPU acceleration (Linux only)
-CT_HIPBLAS=1 pip install ctransformers --no-binary ctransformers
-# Or with Metal GPU acceleration for macOS systems only
-CT_METAL=1 pip install ctransformers --no-binary ctransformers
-```
-
-#### Simple ctransformers example code
-
-```python
-from ctransformers import AutoModelForCausalLM
-
-# Set gpu_layers to the number of layers to offload to GPU. Set to 0 if no GPU acceleration is available on your system.
-llm = AutoModelForCausalLM.from_pretrained("TheBloke/sqlcoder-GGUF", model_file="sqlcoder.Q4_K_M.gguf", model_type="starcoder", gpu_layers=50)
-
-print(llm("AI is going to"))
-```
-
 ## How to use with LangChain
 
 Here are guides on using llama-cpp-python and ctransformers with LangChain:
 
 * [LangChain + llama-cpp-python](https://python.langchain.com/docs/integrations/llms/llamacpp)
-* [LangChain + ctransformers](https://python.langchain.com/docs/integrations/providers/ctransformers)
 
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