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