Instructions to use BiomedicalEvidencePlatform/pico-extractor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
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") - MLX
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
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 538 Bytes
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