Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use petermutwiri/distilbert-base-uncased-Distilbert-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use petermutwiri/distilbert-base-uncased-Distilbert-Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="petermutwiri/distilbert-base-uncased-Distilbert-Model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("petermutwiri/distilbert-base-uncased-Distilbert-Model") model = AutoModelForSequenceClassification.from_pretrained("petermutwiri/distilbert-base-uncased-Distilbert-Model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 67840e3
Training in progress, step 6000
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