Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use davidyinyang/finetuning-sentiment-model-3000-samples with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davidyinyang/finetuning-sentiment-model-3000-samples with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="davidyinyang/finetuning-sentiment-model-3000-samples")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("davidyinyang/finetuning-sentiment-model-3000-samples") model = AutoModelForSequenceClassification.from_pretrained("davidyinyang/finetuning-sentiment-model-3000-samples", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, epoch 2
Verified signature75c1181 -
Training in progress, epoch 1
Verified signature1d76d8b -
End of training
Verified signature8d5fffb -
Training in progress, epoch 1
Verified signature9db8e19
-
update model card README.md
d70a414 -
End of training
dfc40f1 -
Training in progress, epoch 2
90e7620 -
Training in progress, epoch 1
7dff603 -
initial commit
ef996a8