Instructions to use brao/innox-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use brao/innox-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="brao/innox-bert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("brao/innox-bert") model = AutoModelForTokenClassification.from_pretrained("brao/innox-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from brao/innox-bert: direct link, hf CLI and curl.
- Browser
- Download file 104 Bytes
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https://huggingface.co/brao/innox-bert/resolve/main/README.md
- Command line
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hf download hf://brao/innox-bert/README.md
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curl -L -o README.md https://huggingface.co/brao/innox-bert/resolve/main/README.md
104 Bytes
metadata
license: apache-2.0
pipeline_tag: token-classification
language:
- en
library_name: transformers