Instructions to use VCNC/bert_piezas with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VCNC/bert_piezas with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="VCNC/bert_piezas")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("VCNC/bert_piezas") model = AutoModelForSequenceClassification.from_pretrained("VCNC/bert_piezas", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 672089862ece4a955893e9093c9d9114e0a94aa697c2f08b7602367b6536e900
- Size of remote file:
- 346 MB
- SHA256:
- bc8bbc148c963b8fbab994fd7ad6d8d07d78d80229f41a9a994681126dc48153
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