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")# 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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 04e9c13d91b72cd1bb3f46f9c10a6ca83929c96038263ff7e76dc500ca937248
- Size of remote file:
- 3.64 kB
- SHA256:
- 05d0445fcac04e941314f7e4e513337c7957414012df556df829b6234970eb1e
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