Instructions to use Souvikcmsa/BERT_sentiment_analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Souvikcmsa/BERT_sentiment_analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Souvikcmsa/BERT_sentiment_analysis")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Souvikcmsa/BERT_sentiment_analysis") model = AutoModelForSequenceClassification.from_pretrained("Souvikcmsa/BERT_sentiment_analysis") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2 opened over 2 years ago
by
SFconvertbot
What dataset is used for training and evaluating this model?
#1 opened about 3 years ago
by
Saeid