Instructions to use Pacho/bert_finetuning_sh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Pacho/bert_finetuning_sh with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Pacho/bert_finetuning_sh")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Pacho/bert_finetuning_sh") model = AutoModel.from_pretrained("Pacho/bert_finetuning_sh") - 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 sha256:5da61753a3d5a30cfba64830662eb9fadee877ebe44f617a3408b7555c52018c
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size 439737272
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