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")# pip install -U transformers accelerate # 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
File size: 129 Bytes
b5c6e4e | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:caad29e5eda0b05a4404a134034560af05ee75de58066db0a26c7507837b47d9
size 5048
|