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