Instructions to use felixml/genre_pred_model_balanced with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use felixml/genre_pred_model_balanced with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="felixml/genre_pred_model_balanced")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("felixml/genre_pred_model_balanced") model = AutoModelForSequenceClassification.from_pretrained("felixml/genre_pred_model_balanced", device_map="auto") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("felixml/genre_pred_model_balanced")
model = AutoModelForSequenceClassification.from_pretrained("felixml/genre_pred_model_balanced", device_map="auto")Quick Links
No model card
- Downloads last month
- 5
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="felixml/genre_pred_model_balanced")