Token Classification
PEFT
Safetensors
Transformers
Portuguese
lora
ner
portuguese
address-parsing
brazilian-portuguese
Instructions to use felipergcpqd/debertinha-500k-address-ner-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use felipergcpqd/debertinha-500k-address-ner-pt with PEFT:
from peft import PeftModel from transformers import AutoModelForTokenClassification base_model = AutoModelForTokenClassification.from_pretrained("sagui-nlp/debertinha-ptbr-xsmall-lenerbr") model = PeftModel.from_pretrained(base_model, "felipergcpqd/debertinha-500k-address-ner-pt") - Transformers
How to use felipergcpqd/debertinha-500k-address-ner-pt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="felipergcpqd/debertinha-500k-address-ner-pt")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("felipergcpqd/debertinha-500k-address-ner-pt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 971 Bytes
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