Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use SyntaxTheRed/roberta-base-bne-finetuned-multi-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SyntaxTheRed/roberta-base-bne-finetuned-multi-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SyntaxTheRed/roberta-base-bne-finetuned-multi-sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SyntaxTheRed/roberta-base-bne-finetuned-multi-sentiment") model = AutoModelForSequenceClassification.from_pretrained("SyntaxTheRed/roberta-base-bne-finetuned-multi-sentiment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a36d551d9383f627e439aca49cda75b0334845add2591ed56d1d70c78d3e762
- Size of remote file:
- 4.67 kB
- SHA256:
- 85a7533aa1dd960006cb76c8786e7ef6456169581441bdaf42f7a9a4cd6d7687
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