Instructions to use lfcc/bert-portuguese-event-trigger with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lfcc/bert-portuguese-event-trigger with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="lfcc/bert-portuguese-event-trigger", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("lfcc/bert-portuguese-event-trigger") model = AutoModelForTokenClassification.from_pretrained("lfcc/bert-portuguese-event-trigger", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f8bcd166a82c95566ed71b0b6ea35e0f153a5fe02b5cc0b06d89aa813124d910
- Size of remote file:
- 433 MB
- SHA256:
- 081a945495470600db928242212d4bdbf86c7cc90266522eca83d586f3f0eee7
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