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