Instructions to use mbruton/spa_pt_mBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mbruton/spa_pt_mBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mbruton/spa_pt_mBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mbruton/spa_pt_mBERT") model = AutoModelForTokenClassification.from_pretrained("mbruton/spa_pt_mBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1b70cf8b97c01ccfe0810955047ce10f5d998b7ed86091f1ed5a3a98f771b888
- Size of remote file:
- 14.5 kB
- SHA256:
- 31451de007961af3fbe5a804f4d12829bce03aed44630324ea9efbb9c3987075
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