Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use raulgdp/Analisis-sentimientos-xml-roberta-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raulgdp/Analisis-sentimientos-xml-roberta-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="raulgdp/Analisis-sentimientos-xml-roberta-2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("raulgdp/Analisis-sentimientos-xml-roberta-2") model = AutoModelForSequenceClassification.from_pretrained("raulgdp/Analisis-sentimientos-xml-roberta-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9af84e86cd03a3e08254873de246c0d0891bb6dd538a402dbf7ab1bf643e7fe5
- Size of remote file:
- 1.11 GB
- SHA256:
- 8f776eec29ebac8a4b03434dbb1d85652d7648719b8f522529aa2d3f78504801
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