Instructions to use HPLT/hplt_bert_base_th with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_th with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_th", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_th", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 35ceed8d0e43dcd4b8661bdde13c562bf53d77f944aee1bb7ddfa2ec4f3f1b05
- Size of remote file:
- 525 MB
- SHA256:
- 05a5d8abc22244cd07068cf28a3da51d42dfc49a1ef384a8818bbc8ece8b5118
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