How to use OpenMed/OpenMed-PII-Portuguese-mLiteClinical-Base-135M-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="OpenMed/OpenMed-PII-Portuguese-mLiteClinical-Base-135M-v1")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("OpenMed/OpenMed-PII-Portuguese-mLiteClinical-Base-135M-v1") model = AutoModelForTokenClassification.from_pretrained("OpenMed/OpenMed-PII-Portuguese-mLiteClinical-Base-135M-v1", device_map="auto")
https://huggingface.co/OpenMed/OpenMed-PII-Portuguese-mLiteClinical-Base-135M-v1/resolve/main/tokenizer.json
hf download hf://OpenMed/OpenMed-PII-Portuguese-mLiteClinical-Base-135M-v1/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/OpenMed/OpenMed-PII-Portuguese-mLiteClinical-Base-135M-v1/resolve/main/tokenizer.json
