Instructions to use monsoon-nlp/bert-base-thai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use monsoon-nlp/bert-base-thai with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="monsoon-nlp/bert-base-thai")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("monsoon-nlp/bert-base-thai") model = AutoModel.from_pretrained("monsoon-nlp/bert-base-thai", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from monsoon-nlp/bert-base-thai: direct link, hf CLI and curl.
- Browser
- Download file 421 MB
-
https://huggingface.co/monsoon-nlp/bert-base-thai/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://monsoon-nlp/bert-base-thai/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/monsoon-nlp/bert-base-thai/resolve/main/flax_model.msgpack
421 MB
- Xet hash:
- 34de6bf20646941e5132f18cbe758312a9ccd7c1e336c9324e1eaef382486023
- Size of remote file:
- 421 MB
- SHA256:
- edceccb455a065c23ebd7a3078ff0292b8d903d676de281d5ceb5b465ab2fa55
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