Скачать или смотреть langchain using hugging face models locally code walkthrough

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certainly! langchain is a framework designed to facilitate the development of applications using large language models (llms) by providing a variety of components for chaining together various tasks. in this tutorial, we'll explore how to use langchain with hugging face models locally.

prerequisites

1. **python**: ensure you have python 3.6 or later installed.
2. **install required packages**: you will need to install the following packages:
`langchain`
`transformers` (from hugging face)
`torch` or `tensorflow` (depending on your model preference)

you can install these packages using pip:

```bash
pip install langchain transformers torch
```

step 1: load a hugging face model

first, we will load a hugging face model. for this example, let's use the `distilgpt2` model, which is a smaller version of gpt-2.

```python
from transformers import automodelforcausallm, autotokenizer

load the model and tokenizer
model_name = "distilgpt2"
tokenizer = autotokenizer.from_pretrained(model_name)
model = automodelforcausallm.from_pretrained(model_name)
```

step 2: create a langchain wrapper

langchain provides a wrapper to integrate with hugging face models seamlessly. we will create a wrapper for our model.

```python
from langchain.llms import huggingfacellm

create a langchain llm wrapper
llm = huggingfacellm(model=model, tokenizer=tokenizer)
```

step 3: create a simple chain

now, let's create a simple chain that uses the llm to generate text based on a prompt. we will define a chain that takes a user input and generates a continuation.

```python
from langchain.prompts import prompttemplate
from langchain.chains import llmchain

define a prompt template
prompt_template = prompttemplate(
input_variables=["input_text"],
template="continue the following text: {input_text}"
)

create an llm chain
llm_chain = llmchain(llm=llm, prompt=prompt_template)
```

step 4: run the chain

now we can run our chain with a sample input.

```python
sample ...

#Langchain #HuggingFace #CodeWalkthrough

Langchain
Hugging Face
models
local execution
code walkthrough
natural language processing
machine learning
text generation
conversational AI
model deployment
Python
API integration
data processing
fine-tuning
open-source