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