Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use gArthur98/Greg-DistilBert-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gArthur98/Greg-DistilBert-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gArthur98/Greg-DistilBert-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gArthur98/Greg-DistilBert-classifier") model = AutoModelForSequenceClassification.from_pretrained("gArthur98/Greg-DistilBert-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 01d16fc7a9f4b8ed71eaf5a00a383993f7018d724386ee49d3b4a2c8eb4fcc84
- Size of remote file:
- 268 MB
- SHA256:
- 9e0b673a343ef4cf1cb3789a6a987137b94f4898aed7439f9da5a4310740cc20
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