Text Classification
Transformers
Safetensors
English
roberta
sentiment-analysis
text-embeddings-inference
Instructions to use Anjanie/roberta-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Anjanie/roberta-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Anjanie/roberta-sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Anjanie/roberta-sentiment") model = AutoModelForSequenceClassification.from_pretrained("Anjanie/roberta-sentiment") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fe9e7574f17128db1c763a93229a7aa4eb94d5679dd14120631ab524d275cfea
- Size of remote file:
- 5.71 kB
- SHA256:
- 2e22ecb1b0b9d625342e0f3e527e9ffd00ec20de268af9c83c0b68305f77949f
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