Text Classification
Transformers
Safetensors
Spanish
English
bert
NLP
Bert
sentiment-analysis
text-embeddings-inference
# 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")Quick Links
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Model tree for Light-Dav/sentiment-analysis-full-project
Base model
google-bert/bert-base-uncased
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Light-Dav/sentiment-analysis-full-project")