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 optimizer.pt from brao/innox-bert: direct link, hf CLI and curl.
- Browser
- Download file 2.67 GB
-
https://huggingface.co/brao/innox-bert/resolve/main/optimizer.pt
- Command line
-
hf download hf://brao/innox-bert/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/brao/innox-bert/resolve/main/optimizer.pt
2.67 GB
- Xet hash:
- b693879a9000032e0adb1913a4b7ce87d82f82cbfabe26b22fdc3b3b1c3d3991
- Size of remote file:
- 2.67 GB
- SHA256:
- 81e60002e133897c4024a2dc8515b343843d994db18bf2cc78965f7d9cf5511c
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