Instructions to use AnonymousSub/specter-bert-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/specter-bert-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AnonymousSub/specter-bert-model")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/specter-bert-model") model = AutoModel.from_pretrained("AnonymousSub/specter-bert-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4ef0e34d96ba61d66592972c467166fe7c42804a1320bd98dfb22f389a813d6b
- Size of remote file:
- 438 MB
- SHA256:
- daf29814ab465bbb5982f2690639dc5d5679913937bb3926cc6d4cc9321da8c7
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