Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use Gerard-1705/bertin_base_EXIST_detection_spa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gerard-1705/bertin_base_EXIST_detection_spa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Gerard-1705/bertin_base_EXIST_detection_spa")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Gerard-1705/bertin_base_EXIST_detection_spa") model = AutoModelForSequenceClassification.from_pretrained("Gerard-1705/bertin_base_EXIST_detection_spa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 752d9af4c3a1a6f67be68b12ad73496b0a16d911aba16dacf3fe95d1a7cb08bc
- Size of remote file:
- 5.05 kB
- SHA256:
- a29966909d5344b657be8f8ded520e5514ab960cb24c4fdecb19040361ed2b69
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