Feature Extraction
Transformers
Safetensors
English
bert
scibert
fine-tuned
scientific-embeddings
multi-document-summarization
scitldr
text-embeddings-inference
Instructions to use callaghanmt/scibert_embed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use callaghanmt/scibert_embed with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="callaghanmt/scibert_embed")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("callaghanmt/scibert_embed") model = AutoModel.from_pretrained("callaghanmt/scibert_embed") - Notebooks
- Google Colab
- Kaggle
Ctrl+K