Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use Gerard-1705/bertin_base_climate_detection_spa_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gerard-1705/bertin_base_climate_detection_spa_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Gerard-1705/bertin_base_climate_detection_spa_v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Gerard-1705/bertin_base_climate_detection_spa_v2") model = AutoModelForSequenceClassification.from_pretrained("Gerard-1705/bertin_base_climate_detection_spa_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- befbb10e7b4487387e30842a734cfb587a9da80bb742c2a0861b98c57e8a6d14
- Size of remote file:
- 5.05 kB
- SHA256:
- caad29e5eda0b05a4404a134034560af05ee75de58066db0a26c7507837b47d9
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