Text Classification
Transformers
Safetensors
Spanish
roberta
nli
spanish
causal
esnlir
active-learning
text-embeddings-inference
Instructions to use Flaglab/ESNLIR-AL-BERTIN-NegE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Flaglab/ESNLIR-AL-BERTIN-NegE with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Flaglab/ESNLIR-AL-BERTIN-NegE")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Flaglab/ESNLIR-AL-BERTIN-NegE") model = AutoModelForSequenceClassification.from_pretrained("Flaglab/ESNLIR-AL-BERTIN-NegE", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K