Instructions to use ielabgroup/mesh_term_suggestion_biobert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ielabgroup/mesh_term_suggestion_biobert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ielabgroup/mesh_term_suggestion_biobert")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ielabgroup/mesh_term_suggestion_biobert") model = AutoModel.from_pretrained("ielabgroup/mesh_term_suggestion_biobert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download PubMed-w2v.bin from ielabgroup/mesh_term_suggestion_biobert: direct link, hf CLI and curl.
- Browser
- Download file 1.91 GB
-
https://huggingface.co/ielabgroup/mesh_term_suggestion_biobert/resolve/main/PubMed-w2v.bin
- Command line
-
hf download hf://ielabgroup/mesh_term_suggestion_biobert/PubMed-w2v.bin
-
curl -L -o PubMed-w2v.bin https://huggingface.co/ielabgroup/mesh_term_suggestion_biobert/resolve/main/PubMed-w2v.bin
1.91 GB
- Xet hash:
- 6e3b1fab4e5090f464860545a1a492b761ed3ac60aa5ff3ae8b148411a2881b4
- Size of remote file:
- 1.91 GB
- SHA256:
- f089a18a2c1dc0eeb33ee157a86532cabc47fbefcc8a3d4d88482634cf65d8f7
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