Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use cristian-rivera/npl-transformes-crivera with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cristian-rivera/npl-transformes-crivera with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cristian-rivera/npl-transformes-crivera")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cristian-rivera/npl-transformes-crivera") model = AutoModelForSequenceClassification.from_pretrained("cristian-rivera/npl-transformes-crivera", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
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