Instructions to use andyP/ro-sentiment-01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andyP/ro-sentiment-01 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="andyP/ro-sentiment-01")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("andyP/ro-sentiment-01") model = AutoModelForSequenceClassification.from_pretrained("andyP/ro-sentiment-01") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("andyP/ro-sentiment-01")
model = AutoModelForSequenceClassification.from_pretrained("andyP/ro-sentiment-01")Quick Links
No model card
- Downloads last month
- 68
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="andyP/ro-sentiment-01")