Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use Monti06/ModeloNLPdemo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Monti06/ModeloNLPdemo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Monti06/ModeloNLPdemo")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Monti06/ModeloNLPdemo") model = AutoModelForSequenceClassification.from_pretrained("Monti06/ModeloNLPdemo") - Notebooks
- Google Colab
- Kaggle
Model save
Browse files
pytorch_model.bin
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runs/Sep20_21-42-08_4dfb094dcb66/events.out.tfevents.1695246171.4dfb094dcb66.288.0
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