Instructions to use Panda0116/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Panda0116/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Panda0116/results")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Panda0116/results") model = AutoModelForSequenceClassification.from_pretrained("Panda0116/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Panda0116/emotion-classification-model
Verified signatured4d797d -
Training in progress, epoch 3
Verified signature1673371 -
Training in progress, epoch 1
Verified signature059a20f -
Training in progress, epoch 3
Verified signaturea346eb2 -
Training in progress, epoch 1
Verified signature44b9b6f -
Training in progress, epoch 3
Verified signature0881742 -
Training in progress, epoch 1
Verified signature4867509 -
Training in progress, epoch 3
Verified signature4b69a93 -
Training in progress, epoch 1
Verified signaturea57fb61 -
Training in progress, epoch 3
Verified signature651c1ea -
Training in progress, epoch 1
Verified signature2cff7c9 -
Training in progress, epoch 1
Verified signature4fb7b88
-
Training in progress, epoch 1
Verified signaturef26ba54 -
initial commit
Verified signature02b1d54