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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06f3d5a16169ff2e08c56e97d52cb2abc90bd5f60f3740a4921c147c4a55da64
- Size of remote file:
- 268 MB
- SHA256:
- 45862243e077678972d05953dedb893683092bcd8d375134a3e1d4aee264251d
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