Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use skywalker290/distilbert-text-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use skywalker290/distilbert-text-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="skywalker290/distilbert-text-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("skywalker290/distilbert-text-classifier") model = AutoModelForSequenceClassification.from_pretrained("skywalker290/distilbert-text-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f32ffe64b5f3d2998de30b54d92edc3b9c1af8ff6f7a945b6ea68ad3d7456e32
- Size of remote file:
- 5.37 kB
- SHA256:
- accbb58cb1720b4cbc2c70846e8f117d019f4c33bb24a64cfa49f03564dc050c
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