How to use Yah216/Sentiment_Analysis_CAMelBERT_msa_sixteenth_HARD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Yah216/Sentiment_Analysis_CAMelBERT_msa_sixteenth_HARD")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Yah216/Sentiment_Analysis_CAMelBERT_msa_sixteenth_HARD") model = AutoModelForSequenceClassification.from_pretrained("Yah216/Sentiment_Analysis_CAMelBERT_msa_sixteenth_HARD", device_map="auto")
https://huggingface.co/Yah216/Sentiment_Analysis_CAMelBERT_msa_sixteenth_HARD/resolve/main/tokenizer.json
hf download hf://Yah216/Sentiment_Analysis_CAMelBERT_msa_sixteenth_HARD/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/Yah216/Sentiment_Analysis_CAMelBERT_msa_sixteenth_HARD/resolve/main/tokenizer.json
