Instructions to use jcfneto/bert-pt-tv-aspect-extraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jcfneto/bert-pt-tv-aspect-extraction with PEFT:
from peft import PeftModel from transformers import AutoModelForTokenClassification base_model = AutoModelForTokenClassification.from_pretrained("neuralmind/bert-base-portuguese-cased") model = PeftModel.from_pretrained(base_model, "jcfneto/bert-pt-tv-aspect-extraction") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1a37a1d0956709df20767799093cddf2be42499cef9a466463f05d8fd4d23030
- Size of remote file:
- 2.83 MB
- SHA256:
- ae40fcfdd8c595a29a8526480da487e242346a27e38c5eed2dbaed684f875fc6
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