Instructions to use visoc/BERTMiniESPT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use visoc/BERTMiniESPT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="visoc/BERTMiniESPT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("visoc/BERTMiniESPT") model = AutoModelForMaskedLM.from_pretrained("visoc/BERTMiniESPT") - Notebooks
- Google Colab
- Kaggle
Commit ·
efb8140
1
Parent(s): 0d2510b
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (3fa66595485d1c9247a92c40547aebf373e8e62c)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:bfee641e4e25dc977f967492ee7f24d1e531df3dcd4f56f94dccbbf2a337b3ce
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size 44819040
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