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