Text Classification
Transformers
TensorBoard
Safetensors
Spanish
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use somosnlp/bertin_base_climate_detection_spa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use somosnlp/bertin_base_climate_detection_spa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="somosnlp/bertin_base_climate_detection_spa")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("somosnlp/bertin_base_climate_detection_spa") model = AutoModelForSequenceClassification.from_pretrained("somosnlp/bertin_base_climate_detection_spa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 46ac71ab7c79a87f2a88f2381be30efefe2b3754c94a995c835e007205b65453
- Size of remote file:
- 4.98 kB
- SHA256:
- 2d1a4127e93764e7a6ac9044bac3c7732cdecda6e095765e5f4e8dee2c7b7b76
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