Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use pradanaadn/sucidal-text-classification-distillbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pradanaadn/sucidal-text-classification-distillbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pradanaadn/sucidal-text-classification-distillbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pradanaadn/sucidal-text-classification-distillbert") model = AutoModelForSequenceClassification.from_pretrained("pradanaadn/sucidal-text-classification-distillbert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 828551754ebb6a93445af6d6d7a4c236746eba1853019141f2cf08b2e403ad8b
- Size of remote file:
- 5.11 kB
- SHA256:
- cf611e7f87299a3209a0d97e3586f44082c4443d344e78da747aace56889fcc9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.