Text Classification
Transformers
Safetensors
multilingual
xlm-roberta
sentiment-analysis
text-embeddings-inference
Instructions to use eralpucar1/CMPE346Pipeline2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eralpucar1/CMPE346Pipeline2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="eralpucar1/CMPE346Pipeline2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("eralpucar1/CMPE346Pipeline2") model = AutoModelForSequenceClassification.from_pretrained("eralpucar1/CMPE346Pipeline2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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