Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use KasuleTrevor/distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KasuleTrevor/distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KasuleTrevor/distilbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KasuleTrevor/distilbert") model = AutoModelForSequenceClassification.from_pretrained("KasuleTrevor/distilbert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 469f0a6619b645433ce347b9f07af108533b1cd91c2eb185d8edc6854c2d4f2c
- Size of remote file:
- 5.18 kB
- SHA256:
- 97a011cb4464f43d929c42c14694e2f5f4d25059f7acf574af6c8b6d4259419f
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