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:
- 0a22a29e2d63efd8c5d3a12fce641650b3d6be32d4de56e3626d72f52ef20477
- Size of remote file:
- 692 MB
- SHA256:
- c7dd8ce60c8bb915690fec70a4fc27239a41c04baa3f061f33fb6301fb8bffc6
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