Instructions to use bnunticha/sentence-tokenizer-th with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bnunticha/sentence-tokenizer-th with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="bnunticha/sentence-tokenizer-th")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("bnunticha/sentence-tokenizer-th") model = AutoModelForTokenClassification.from_pretrained("bnunticha/sentence-tokenizer-th", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a4da841b9db3511958dae0271bfc7b9decbbc0507cc6f082d128f2ff7c8b17b2
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size 418645336
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