Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use Felipeit/sentiment-analysis-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Felipeit/sentiment-analysis-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Felipeit/sentiment-analysis-test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Felipeit/sentiment-analysis-test") model = AutoModelForSequenceClassification.from_pretrained("Felipeit/sentiment-analysis-test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9fe0bd812a09dc6b0f68210ca91b48c954eed340006e0b7b4b151fa9d346a5fe
- Size of remote file:
- 5.3 kB
- SHA256:
- 1cc681c6ec71fa89b4aeaeeda52f6604a2bc348f549538afde338fdf33255698
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