How to use edumunozsala/RuPERTa_base_sentiment_analysis_es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="edumunozsala/RuPERTa_base_sentiment_analysis_es")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("edumunozsala/RuPERTa_base_sentiment_analysis_es") model = AutoModelForSequenceClassification.from_pretrained("edumunozsala/RuPERTa_base_sentiment_analysis_es", device_map="auto")
https://huggingface.co/edumunozsala/RuPERTa_base_sentiment_analysis_es/resolve/main/tokenizer.json
hf download hf://edumunozsala/RuPERTa_base_sentiment_analysis_es/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/edumunozsala/RuPERTa_base_sentiment_analysis_es/resolve/main/tokenizer.json
