Instructions to use yemen2016/nbbert_indirect_speech with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yemen2016/nbbert_indirect_speech with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="yemen2016/nbbert_indirect_speech")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("yemen2016/nbbert_indirect_speech") model = AutoModelForTokenClassification.from_pretrained("yemen2016/nbbert_indirect_speech", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from yemen2016/nbbert_indirect_speech: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/yemen2016/nbbert_indirect_speech/resolve/main/training_args.bin
- Command line
-
hf download hf://yemen2016/nbbert_indirect_speech/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/yemen2016/nbbert_indirect_speech/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- 94f92c6ec9e5caf862d002672bcb04f7af16d7719ed7786630e1393455062993
- Size of remote file:
- 5.5 kB
- SHA256:
- 5e8cf86afe429055824d506f1c70fc4a1bccd093c5e8c601949162e85b40a58d
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