Instructions to use arodriguezf/mmbert-binary-borrowings with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arodriguezf/mmbert-binary-borrowings with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="arodriguezf/mmbert-binary-borrowings")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("arodriguezf/mmbert-binary-borrowings") model = AutoModelForTokenClassification.from_pretrained("arodriguezf/mmbert-binary-borrowings", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b9a2d72d803ef528e6708349a48b1677fedd56829a5152e2cec82d3ca3ee40c
- Size of remote file:
- 34.4 MB
- SHA256:
- aed3558d6f9d5903210f98359fe3e802546d9722e3a671cac045cedb59c4719b
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