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
- Xet hash:
- 25c247ff9db1ad96304e3a4e4a5b5aff2724cb29465ec2a04fda89533ea8eafb
- Size of remote file:
- 575 MB
- SHA256:
- 25726e4de3334ef7b15690e4170540443dfdbf34c62c2170d53b153fec514202
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