Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use ruru2701/textclassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ruru2701/textclassifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ruru2701/textclassifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ruru2701/textclassifier") model = AutoModelForSequenceClassification.from_pretrained("ruru2701/textclassifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 45bb73fee3c21b9e78ed664551013b57447f4655603137a673348da2697933f5
- Size of remote file:
- 4.86 kB
- SHA256:
- 684aa349da091b0dd2c977f7036b5bddc13e9f83696bf84a862a8feab74f6c45
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