Text Classification
Transformers
Safetensors
Spanish
bert
sentiment-analysis
spanish
tweets
beto
text-embeddings-inference
Instructions to use lbryanrick/beto-sentiment-es-tweets with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lbryanrick/beto-sentiment-es-tweets with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lbryanrick/beto-sentiment-es-tweets")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lbryanrick/beto-sentiment-es-tweets") model = AutoModelForSequenceClassification.from_pretrained("lbryanrick/beto-sentiment-es-tweets", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K