Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use AlexAnge/small-sentiment-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlexAnge/small-sentiment-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AlexAnge/small-sentiment-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AlexAnge/small-sentiment-model") model = AutoModelForSequenceClassification.from_pretrained("AlexAnge/small-sentiment-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ce8415df92b92eb68619445b29e2300c672a5194f59df9f5bf367086935b1add
- Size of remote file:
- 3.38 kB
- SHA256:
- f04d498ca1d3d9b4fd4dffb357c358345b6448adc0b657d790298089ba316c5b
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