Instructions to use VCNC/bert_piezas2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VCNC/bert_piezas2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="VCNC/bert_piezas2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("VCNC/bert_piezas2") model = AutoModelForSequenceClassification.from_pretrained("VCNC/bert_piezas2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec0ff2033fc740e4f8f9ac0e30ec3ded82a618a83675acf294a05cd43cf35f7c
- Size of remote file:
- 346 MB
- SHA256:
- 5f0c2c25f31c716c9094ed5f66a20de3d464e8d1fce15527ad7d4908895d277a
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