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:
- 51bac421093faeb010bef952f2ae0031181caea2229e400307631ce09123a5ea
- Size of remote file:
- 4.03 kB
- SHA256:
- 68ce8d163f76dc34c222bb664ddc4cc6aee6b7ba4091618265d756f2db55c878
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