Instructions to use wallacenpj/bert_aig_flvs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wallacenpj/bert_aig_flvs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wallacenpj/bert_aig_flvs")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wallacenpj/bert_aig_flvs") model = AutoModelForSequenceClassification.from_pretrained("wallacenpj/bert_aig_flvs") - 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:e16a72f43254f598535ea2522133d6ef68a8443eca61b9ff475373ab95e9e03d
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size 433278028
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