Instructions to use certainstar/Trained-Mul-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use certainstar/Trained-Mul-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="certainstar/Trained-Mul-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("certainstar/Trained-Mul-classification") model = AutoModelForSequenceClassification.from_pretrained("certainstar/Trained-Mul-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb0d10b6b9f5e370ac40e117133ccf806ab96c014b0b01bc754d7e43eb1b7482
- Size of remote file:
- 14.2 kB
- SHA256:
- 200bb63df685a51d719a8fee2c6f9b9ba699d7e44eb7fd47832b81313cd2f68f
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