C Transformers

The 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 ctransformers

Load Model

from langchain_community.llms import CTransformers

llm = CTransformers(model="marella/gpt-2-ggml")

Generate Text

print(llm("AI is going to"))

Streaming

from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler

llm = CTransformers(
    model="marella/gpt-2-ggml", callbacks=[StreamingStdOutCallbackHandler()]
)

response = llm("AI is going to")

LLMChain

from langchain.chains import LLMChain
from langchain.prompts import PromptTemplate

template = """Question: {question}

Answer:"""

prompt = PromptTemplate(template=template, input_variables=["question"])

llm_chain = LLMChain(prompt=prompt, llm=llm)

response = llm_chain.run("What is AI?")