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
Download trainer_state.json from brao/innox-bert: direct link, hf CLI and curl.
- Browser
- Download file 9.98 kB
-
https://huggingface.co/brao/innox-bert/resolve/main/trainer_state.json
- Command line
-
hf download hf://brao/innox-bert/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/brao/innox-bert/resolve/main/trainer_state.json
9.98 kB
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