Instructions to use Geotrend/bert-base-th-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Geotrend/bert-base-th-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Geotrend/bert-base-th-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Geotrend/bert-base-th-cased") model = AutoModelForMaskedLM.from_pretrained("Geotrend/bert-base-th-cased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 132b04265536d7f942e83634f9299534a1fb82e85da98d7a276ef3fe9369754b
- Size of remote file:
- 370 MB
- SHA256:
- 95868442e7f353d9b9816f8a5acd63d6a49f8e535c5a73a61c6c0b6b9befb4dd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.