Instructions to use szymonpindur/herbert-onom-interjection-recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use szymonpindur/herbert-onom-interjection-recognition with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="szymonpindur/herbert-onom-interjection-recognition")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("szymonpindur/herbert-onom-interjection-recognition") model = AutoModelForTokenClassification.from_pretrained("szymonpindur/herbert-onom-interjection-recognition") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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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 sha256:98d5c9baf2a1ce3a03e691a2e979b384aec35b956d68ca77e6499ca3db9cb0c8
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size 1416222604
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