Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use JonatanGk/roberta-base-ca-finetuned-tecla with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JonatanGk/roberta-base-ca-finetuned-tecla with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JonatanGk/roberta-base-ca-finetuned-tecla")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JonatanGk/roberta-base-ca-finetuned-tecla") model = AutoModelForSequenceClassification.from_pretrained("JonatanGk/roberta-base-ca-finetuned-tecla", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a6b1f0ba40b75364c3d9d274bd660c8905cb0e132fd69c3486315558c5203252
- Size of remote file:
- 2.86 kB
- SHA256:
- 451c4ce940383994197e9fa51c5897b785b7b0a4bf27877038db17e62031a27b
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