Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use Loacky/sentiment-analysis-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Loacky/sentiment-analysis-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Loacky/sentiment-analysis-test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Loacky/sentiment-analysis-test") model = AutoModelForSequenceClassification.from_pretrained("Loacky/sentiment-analysis-test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 062962b9d14e1ae97453b9948333dcd44d0741b8b480b2e0aec67ce8e7398ed6
- Size of remote file:
- 5.3 kB
- SHA256:
- 6b4dd68a550e3d3add31845a0967763885cfd5f6533be1ac12eda6fae006b01f
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