Text Classification
Transformers
PyTorch
distilbert
classification
Generated from Trainer
text-embeddings-inference
Instructions to use cedomin/Task1a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cedomin/Task1a with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cedomin/Task1a")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cedomin/Task1a") model = AutoModelForSequenceClassification.from_pretrained("cedomin/Task1a", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
update model card README.md
51c88dd -
Training complete
d2a9b11
-
update model card README.md
4052012 -
Training complete
c61a27a -
update model card README.md
0ec74bc -
Training complete
540fd6b -
update model card README.md
76f2d5f -
Training complete
613db5f
-
initial commit
d8f238d