Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
distilbert
text-embeddings-inference
Instructions to use JoeJYu/finetuning-sentiment-model-3000-samples-Task2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JoeJYu/finetuning-sentiment-model-3000-samples-Task2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JoeJYu/finetuning-sentiment-model-3000-samples-Task2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JoeJYu/finetuning-sentiment-model-3000-samples-Task2") model = AutoModelForSequenceClassification.from_pretrained("JoeJYu/finetuning-sentiment-model-3000-samples-Task2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 4
Browse files
pytorch_model.bin
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runs/Apr13_11-13-52_b08f3362de0f/events.out.tfevents.1681384439.b08f3362de0f.151.6
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