Instructions to use Herais/pred_genre with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Herais/pred_genre with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Herais/pred_genre")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Herais/pred_genre") model = AutoModelForSequenceClassification.from_pretrained("Herais/pred_genre", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e57b960458b2858f95c57be07cf50aa906812317273317e55485b9917aae3860
- Size of remote file:
- 409 MB
- SHA256:
- ca34cff76681aca3964eeb64a7c499a6468475c32b90df163d9cefe1f2998452
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.