Instructions to use s-nlp/lewit-informal-tagger with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use s-nlp/lewit-informal-tagger with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="s-nlp/lewit-informal-tagger")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("s-nlp/lewit-informal-tagger") model = AutoModelForTokenClassification.from_pretrained("s-nlp/lewit-informal-tagger", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from s-nlp/lewit-informal-tagger: direct link, hf CLI and curl.
- Browser
- Download file 431 MB
-
https://huggingface.co/s-nlp/lewit-informal-tagger/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://s-nlp/lewit-informal-tagger/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/s-nlp/lewit-informal-tagger/resolve/main/pytorch_model.bin
431 MB
- Xet hash:
- baf99f079efbc589bfd43a5b989888851cc069087f29fd42426f3aebdb42ed62
- Size of remote file:
- 431 MB
- SHA256:
- e16406d233e357307cc2be4f72a4cfad26496461cb14065b521671091809ea4b
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