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python - Integrating OpenAI Web Search API in LangGraph | DaniWeb from typing_extensions import TypedDict from langchain_openai import ChatOpenAI from IPython display import Image, display from langgraph graph import StateGraph, START from langgraph checkpoint memory import InMemorySaver from langgraph store memory import InMemoryStore from langchain_core messages import AIMessage, HumanMessage from google colab import userdata Binding the Web Search Tool to
python - Image Analysis Using OpenAI GPT-4o Model | DaniWeb OpenAI announced the GPT-4o (omni) model on May 13, 2024 The GPT-4o model, as the name suggests, can process multimodal inputs, such as text, image, and speech As per OpenAI, GPT-4o is the state-of-the-art and best-performing large language model Among GPT-4o's many capabilities, I found its ability to analyze images and answer related questions highly astonishing In this article, I
python - Text Classification and Summarization with . . . | DaniWeb from transformers import AutoModelForCausalLM, AutoTokenizer import pandas as pd from sklearn metrics import accuracy_score from rouge_score import rouge_scorer A Basic Example of Using Qwen 2 5 Instruct Model in Hugging Face Before moving to text classification and summarization on custom datasets, let's first see how to generate a single response from the Qwen 2 5-7B model Importing the
python - Text and Image to Video Generation using . . . | DaniWeb !pip install --upgrade transformers accelerate diffusers imageio-ffmpeg For text-to-video generation, we will use the CogVideoX-2b diffusion model For image-to-video generation, we will use the Stability AI's img2vid model The following script imports the Hugging Face pipelines for the two models We also import some utility classes to save videos and display images
python - Benchmarking DeepSeek R1 for Text Classification . . . | DaniWeb positive In the next section, we will use the DeepSeek model for the sentiment classification of tweets in a dataset We will compare the results with those obtained via the Qwen and Llama models in the previous article DeepSeek For Text Classification We will detect tweets' sentiment from the Twitter US Airline Sentiment Dataset The following script imports the dataset and displays its header
python - Text Classification and Summarization with . . . | DaniWeb In the last article, I explained how you can use the DeepSeek-R1-Distill-Qwen-32B model for text classification and summarization problems In this article, we will use the DeepSeek-R1-Distill-Llama-70b for the same tasks Following results from the DeepSeek-AI's official paper show that DeepSeek-R1-Distill-Llama-70b outperform the other distilled models on 4 out of 6 benchmarks Output: So