Instructions to use AnonymousSub/FPDM_Scientific_BERT-Large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/FPDM_Scientific_BERT-Large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AnonymousSub/FPDM_Scientific_BERT-Large")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/FPDM_Scientific_BERT-Large") model = AutoModel.from_pretrained("AnonymousSub/FPDM_Scientific_BERT-Large") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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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 sha256:347980c5324015400d9f36b2800d6458993ab4efe22fd1af56aa33e541d85455
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size 1340616616
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