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