Feature Extraction
Transformers
Safetensors
Portuguese
srl
semantic-role-labeling
bertimbau
portuguese
nlp
custom_code
Instructions to use liaad/srl-pt_bertimbau-base_hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use liaad/srl-pt_bertimbau-base_hf with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="liaad/srl-pt_bertimbau-base_hf", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("liaad/srl-pt_bertimbau-base_hf", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from liaad/srl-pt_bertimbau-base_hf: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/liaad/srl-pt_bertimbau-base_hf/resolve/main/training_args.bin
- Command line
-
hf download hf://liaad/srl-pt_bertimbau-base_hf/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/liaad/srl-pt_bertimbau-base_hf/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- c3074150d33c58f7ba9928eb27e3292422315f87bd2aa40ce2fbb6a9f8d41123
- Size of remote file:
- 4.98 kB
- SHA256:
- a9271f98e4f2274c58acec03803e23f0a9ec0a8249ff92b3bbe7637a472c861c
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