Instructions to use mustoof/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mustoof/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mustoof/results")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mustoof/results") model = AutoModelForSequenceClassification.from_pretrained("mustoof/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
End of training
Verified signature3d50efc -
Training in progress, step 690
Verified signature5f717d4 -
Training in progress, step 600
Verified signaturef0aa462 -
Training in progress, step 500
Verified signaturedfdcdbb -
Training in progress, step 400
Verified signature02a48d7 -
Training in progress, step 300
Verified signature1d48513 -
Training in progress, step 200
Verified signature02aee40 -
Training in progress, step 100
Verified signaturedfc0529 -
initial commit
Verified signature8eda074