Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use Gasolinaaa/roberta-emotion-predictor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gasolinaaa/roberta-emotion-predictor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Gasolinaaa/roberta-emotion-predictor")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Gasolinaaa/roberta-emotion-predictor") model = AutoModelForSequenceClassification.from_pretrained("Gasolinaaa/roberta-emotion-predictor", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64e0751319825b801d9ed76605a5333a2eb9c57a7e7cc8d8b7db0e97518aca5b
- Size of remote file:
- 5.91 kB
- SHA256:
- 74c33a96d806bb1db64d3636240137b5d0b90def314b8713f3596a510410e7ea
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