Instructions to use lst-nectec/HoogBERTa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lst-nectec/HoogBERTa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="lst-nectec/HoogBERTa")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("lst-nectec/HoogBERTa") model = AutoModelForMaskedLM.from_pretrained("lst-nectec/HoogBERTa") - 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 sha256:87f306a7cb49380f3e91647eaf33ab01e394fbf1664c498e407d48b7793ae993
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size 574303188
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