Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use BenjaminOcampo/multipride_xml_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BenjaminOcampo/multipride_xml_roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BenjaminOcampo/multipride_xml_roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/multipride_xml_roberta") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/multipride_xml_roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8eea61e5f7f059545963c22d7d42609491240790408da0d682805513e53aa3bf
- Size of remote file:
- 5.84 kB
- SHA256:
- eaaf9e0dab23cefbeef99c1b6ed95c2ec2585e2647fc07247da60229ee058e66
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