Instructions to use Geotrend/bert-base-en-th-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Geotrend/bert-base-en-th-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Geotrend/bert-base-en-th-cased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Geotrend/bert-base-en-th-cased") model = AutoModelForMaskedLM.from_pretrained("Geotrend/bert-base-en-th-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from Geotrend/bert-base-en-th-cased: direct link, hf CLI and curl.
- Browser
- Download file 434 MB
-
https://huggingface.co/Geotrend/bert-base-en-th-cased/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://Geotrend/bert-base-en-th-cased/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/Geotrend/bert-base-en-th-cased/resolve/main/flax_model.msgpack
434 MB
- Xet hash:
- aa2dca510c5da40aa03291aed105a43b1d881c1cede8088c1a67f37d59fcff90
- Size of remote file:
- 434 MB
- SHA256:
- 1ac6552d21a9edc3c791a7c27c1ecee9bf29e929bf2c6f3029739a8ce0fae917
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