Text Classification
Transformers
PyTorch
TensorBoard
mpnet
Generated from Trainer
text-embeddings-inference
Instructions to use mtyrrell/CPU_Netzero_Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mtyrrell/CPU_Netzero_Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mtyrrell/CPU_Netzero_Classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mtyrrell/CPU_Netzero_Classifier") model = AutoModelForSequenceClassification.from_pretrained("mtyrrell/CPU_Netzero_Classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
004514c -
Update README.md
252783a -
Update README.md
c1d416a -
Update README.md
08fa197
-
Update README.md
f7ab49f -
Update README.md
c0830c3 -
update model card README.md
5c7370f -
End of training
f74e7e9
-
Update README.md
6bf6c1c -
update model card README.md
3c4be43 -
End of training
f4b613f -
initial commit
f480693