Instructions to use lukecarlate/SECBERT_Num with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lukecarlate/SECBERT_Num with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="lukecarlate/SECBERT_Num")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("lukecarlate/SECBERT_Num") model = AutoModelForMaskedLM.from_pretrained("lukecarlate/SECBERT_Num") - 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 sha256:87dcff77be10dae017a08a4c9ab62b355090108c5836a0af81c95ff5f4c620a0
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size 436479536
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