Instructions to use giotvr/bertimbau_large_assin_fine_tuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use giotvr/bertimbau_large_assin_fine_tuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="giotvr/bertimbau_large_assin_fine_tuned")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("giotvr/bertimbau_large_assin_fine_tuned") model = AutoModelForSequenceClassification.from_pretrained("giotvr/bertimbau_large_assin_fine_tuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 151798f735e11c7ec228352920a5ef38ed9ce59e02448635f0edfc5a3e674885
- Size of remote file:
- 1.34 GB
- SHA256:
- e43399e22d79bde005bba3b69917f39e8e3c878f4e2244a45b532bf30656cdda
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.