Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use wnic00/distilbert-new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wnic00/distilbert-new with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wnic00/distilbert-new")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wnic00/distilbert-new") model = AutoModelForSequenceClassification.from_pretrained("wnic00/distilbert-new", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ec1c41be160b54681424f44db97b02e5b03ca3120f9e4aaa230766d1d646658
- Size of remote file:
- 3.96 kB
- SHA256:
- c1d561902a1a21daf068fb7b71ffff61e7f99a2410ec7ef48b886458fb7d0f88
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