Instructions to use Tippawan/test1-m3-semi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tippawan/test1-m3-semi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Tippawan/test1-m3-semi")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Tippawan/test1-m3-semi") model = AutoModelForTokenClassification.from_pretrained("Tippawan/test1-m3-semi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Tippawan/test1-m3-semi: direct link, hf CLI and curl.
- Browser
- Download file 2.18 MB
-
https://huggingface.co/Tippawan/test1-m3-semi/resolve/main/tokenizer.json
- Command line
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hf download hf://Tippawan/test1-m3-semi/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Tippawan/test1-m3-semi/resolve/main/tokenizer.json
2.18 MB
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