Text Classification
Transformers
Safetensors
Spanish
English
bert
NLP
Bert
sentiment-analysis
text-embeddings-inference
Instructions to use Light-Dav/sentiment-analysis-full-project with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Light-Dav/sentiment-analysis-full-project with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Light-Dav/sentiment-analysis-full-project")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Light-Dav/sentiment-analysis-full-project") model = AutoModelForSequenceClassification.from_pretrained("Light-Dav/sentiment-analysis-full-project") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!