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 --upgrade --quiet  ctransformers

Load Model

from langchain_community.llms import CTransformers

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

API Reference:CTransformers

Generate Text

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

Streaming

from langchain_core.callbacks import StreamingStdOutCallbackHandler

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

response = llm.invoke("AI is going to")

API Reference:StreamingStdOutCallbackHandler

LLMChain

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

template = """Question: {question}

Answer:"""

prompt = PromptTemplate.from_template(template)

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

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

API Reference:LLMChain | PromptTemplate

Related

• LLM conceptual guide
• LLM how-to guides