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:
- 5588cb2f29359467984141f764705a3ddcf8c10f7601f72eb0977065128d8417
- Size of remote file:
- 4.03 kB
- SHA256:
- f15eab63f1f3e8ee08fb467c09e61786a1be141162a7bbcadddcb78acc0ca1d2
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