Feature Extraction
Transformers
Safetensors
MLX
English
bert
fp16
biomedical
pubmedbert
text-embeddings-inference
Instructions to use BiomedicalEvidencePlatform/BiomedBERT-base-uncased-abstract with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
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") - MLX
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
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
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