How to use Sumedhzz/Sentiment-Analyzer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sumedhzz/Sentiment-Analyzer")
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sumedhzz/Sentiment-Analyzer") model = AutoModelForSequenceClassification.from_pretrained("Sumedhzz/Sentiment-Analyzer")
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--- license: apache-2.0 base_model: xlm-roberta-base pipeline_tag: text-classification library_name: transformers tags: - hinglish - sentiment widget: - text: "this was great" ---
