Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use dcere/ta1c-Clickbait-Detector-es-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dcere/ta1c-Clickbait-Detector-es-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dcere/ta1c-Clickbait-Detector-es-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dcere/ta1c-Clickbait-Detector-es-large") model = AutoModelForSequenceClassification.from_pretrained("dcere/ta1c-Clickbait-Detector-es-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files- model.safetensors +1 -1
model.safetensors
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