Instructions to use AnonymousSub/SCIENTIFIC_FPDM_BERT_scivocab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/SCIENTIFIC_FPDM_BERT_scivocab with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AnonymousSub/SCIENTIFIC_FPDM_BERT_scivocab")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/SCIENTIFIC_FPDM_BERT_scivocab") model = AutoModel.from_pretrained("AnonymousSub/SCIENTIFIC_FPDM_BERT_scivocab") - 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:b6c7b2852f08a14bd1e4aa71e492da40e8285959a53365bc7179330275ef4821
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size 437955512
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