Instructions to use gsarti/biobert-nli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gsarti/biobert-nli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="gsarti/biobert-nli")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("gsarti/biobert-nli") model = AutoModel.from_pretrained("gsarti/biobert-nli") - Notebooks
- Google Colab
- Kaggle
Is this message normal: "No sentence-transformers model found with name /Users/holmes5/.cache/torch/sentence_transformers/gsarti_biobert-nli. Creating a new one with MEAN pooling."
#5
by JHolmes89 - opened
I'm attempting to use this model via the sentence-transformers library and I get the message: "No sentence-transformers model found with name /Users/holmes5/.cache/torch/sentence_transformers/gsarti_biobert-nli. Creating a new one with MEAN pooling." Am I using this model as intended? If not, what should I be doing? If so, is this message expected?