How to use BiomedicalEvidencePlatform/pico-extractor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="BiomedicalEvidencePlatform/pico-extractor")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("BiomedicalEvidencePlatform/pico-extractor") model = AutoModelForTokenClassification.from_pretrained("BiomedicalEvidencePlatform/pico-extractor", device_map="auto")
How to use BiomedicalEvidencePlatform/pico-extractor with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download BiomedicalEvidencePlatform/pico-extractor --local-dir pico-extractor
https://huggingface.co/BiomedicalEvidencePlatform/pico-extractor/resolve/main/tokenizer.json
hf download hf://BiomedicalEvidencePlatform/pico-extractor/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/BiomedicalEvidencePlatform/pico-extractor/resolve/main/tokenizer.json
