Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use sanabar/roberta-goemo-journals with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sanabar/roberta-goemo-journals with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sanabar/roberta-goemo-journals")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sanabar/roberta-goemo-journals") model = AutoModelForSequenceClassification.from_pretrained("sanabar/roberta-goemo-journals", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b7faab2480b5b2f9ef003e08403770faf8573dbe344216a72ff58e7f46b0f035
- Size of remote file:
- 5.3 kB
- SHA256:
- da98e63d8e6a2d32db827b6a9c2322557dc89f9fe86d440d708f4a90f6d7f219
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