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Project 1: Sentiment Analysis with BERT
4. Step 1: Preparing the Environment
We’ll start by installing and importing the necessary libraries. Ensure you have Python and the required libraries installed.
Code Example: Environment Setup
# Install Hugging Face Transformers library
pip install transformers datasetsfrom transformers import BertTokenizer, BertForSequenceClassification, Trainer, TrainingArguments
from datasets import load_dataset4. Step 1: Preparing the Environment
We’ll start by installing and importing the necessary libraries. Ensure you have Python and the required libraries installed.
Code Example: Environment Setup
# Install Hugging Face Transformers library
pip install transformers datasetsfrom transformers import BertTokenizer, BertForSequenceClassification, Trainer, TrainingArguments
from datasets import load_dataset4. Step 1: Preparing the Environment
We’ll start by installing and importing the necessary libraries. Ensure you have Python and the required libraries installed.
Code Example: Environment Setup
# Install Hugging Face Transformers library
pip install transformers datasetsfrom transformers import BertTokenizer, BertForSequenceClassification, Trainer, TrainingArguments
from datasets import load_dataset4. Step 1: Preparing the Environment
We’ll start by installing and importing the necessary libraries. Ensure you have Python and the required libraries installed.
Code Example: Environment Setup
# Install Hugging Face Transformers library
pip install transformers datasetsfrom transformers import BertTokenizer, BertForSequenceClassification, Trainer, TrainingArguments
from datasets import load_dataset