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:
- 64ed1a8cf6c3a581de7709ba29bc3ee8218d72a971c59cd6cc00dff62a29c0ec
- Size of remote file:
- 5.81 kB
- SHA256:
- 6f6ff4191733cede92576ccb339d3b131907cca5f2dad5ca55438a00152b4f15
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