Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use gsl22/sentiment-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gsl22/sentiment-analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gsl22/sentiment-analysis")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gsl22/sentiment-analysis") model = AutoModelForSequenceClassification.from_pretrained("gsl22/sentiment-analysis") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files- pytorch_model.bin +1 -1
- runs/Aug30_16-28-42_a6947b81f6a3/events.out.tfevents.1693412927.a6947b81f6a3.410.1 +2 -2
- runs/Aug30_16-28-42_a6947b81f6a3/events.out.tfevents.1693412993.a6947b81f6a3.410.2 +3 -0
- runs/Aug30_16-30-30_a6947b81f6a3/events.out.tfevents.1693413032.a6947b81f6a3.410.3 +3 -0
- training_args.bin +1 -1
pytorch_model.bin
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