Zero-Shot Classification
Transformers
PyTorch
Safetensors
Catalan
roberta
text-classification
zero-shot
Instructions to use projecte-aina/roberta-base-ca-v2-cawikitc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use projecte-aina/roberta-base-ca-v2-cawikitc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="projecte-aina/roberta-base-ca-v2-cawikitc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("projecte-aina/roberta-base-ca-v2-cawikitc") model = AutoModelForSequenceClassification.from_pretrained("projecte-aina/roberta-base-ca-v2-cawikitc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 346b24bb941aa0cf13c48910d71075cbb469e63666d73b6abed6729e42a51a9b
- Size of remote file:
- 499 MB
- SHA256:
- 7b82edd5b56886f15474debe082663f458e55da0381d9aebfb7fc56ba30fe851
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