ComponentsLLMsC TransformersC TransformersThe C Transformers library provides Python bindings for GGML models.This example goes over how to use LangChain to interact with C Transformers models.Install%pip install ctransformersLoad Modelfrom langchain.llms import CTransformersllm = CTransformers(model="marella/gpt-2-ggml")Generate Textprint(llm("AI is going to"))Streamingfrom langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandlerllm = CTransformers(    model="marella/gpt-2-ggml", callbacks=[StreamingStdOutCallbackHandler()])response = llm("AI is going to")LLMChainfrom langchain.prompts import PromptTemplatefrom langchain.chains import LLMChaintemplate = """Question: {question}Answer:"""prompt = PromptTemplate(template=template, input_variables=["question"])llm_chain = LLMChain(prompt=prompt, llm=llm)response = llm_chain.run("What is AI?")PreviousCohereNextCTranslate2