Instructions to use viswavi/datafinder-scibert-nl-queries-dataset-description-only with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use viswavi/datafinder-scibert-nl-queries-dataset-description-only with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="viswavi/datafinder-scibert-nl-queries-dataset-description-only")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("viswavi/datafinder-scibert-nl-queries-dataset-description-only") model = AutoModel.from_pretrained("viswavi/datafinder-scibert-nl-queries-dataset-description-only") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5381976538d05f766b54f992599e78acba189b7e75eb32ee7083f0455472805a
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size 439700408
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