How to use STUDENT-135080/NLP_ with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="STUDENT-135080/NLP_")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("STUDENT-135080/NLP_") model = AutoModelForSequenceClassification.from_pretrained("STUDENT-135080/NLP_", device_map="auto")
https://huggingface.co/STUDENT-135080/NLP_/resolve/main/README.md
hf download hf://STUDENT-135080/NLP_/README.md
curl -L -o README.md https://huggingface.co/STUDENT-135080/NLP_/resolve/main/README.md
library_name: transformers language: - en tags: - BERT - finance - SENTIMENT-ANALYSIS - text-classification - NLP
