Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use joebobby/finetuning-sentiment-model-5000-samples with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joebobby/finetuning-sentiment-model-5000-samples with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="joebobby/finetuning-sentiment-model-5000-samples")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("joebobby/finetuning-sentiment-model-5000-samples") model = AutoModelForSequenceClassification.from_pretrained("joebobby/finetuning-sentiment-model-5000-samples") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files- pytorch_model.bin +1 -1
- runs/May26_04-49-23_7fed03141660/events.out.tfevents.1653540574.7fed03141660.71.0 +2 -2
- runs/May26_05-34-02_7fed03141660/1653543248.8900838/events.out.tfevents.1653543248.7fed03141660.71.3 +3 -0
- runs/May26_05-34-02_7fed03141660/events.out.tfevents.1653543248.7fed03141660.71.2 +3 -0
- training_args.bin +1 -1
pytorch_model.bin
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