Instructions to use NaNOrange/my_first_uploaded_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NaNOrange/my_first_uploaded_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NaNOrange/my_first_uploaded_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NaNOrange/my_first_uploaded_model") model = AutoModelForSequenceClassification.from_pretrained("NaNOrange/my_first_uploaded_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Create README.md
Verified signatureBasically, my first model uploaded to the hub. Metrics: f1: 0.9311598148474379 accuracy: 0.93116b2a9a45 -
Training in progress, epoch 3
Verified signaturecf3adcb -
Training in progress, epoch 2
Verified signature6ac4157 -
Training in progress, epoch 1
Verified signaturefdbe39f -
initial commit
Verified signature296779e