Instructions to use onionLad/identifier-bert-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use onionLad/identifier-bert-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="onionLad/identifier-bert-large")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("onionLad/identifier-bert-large") model = AutoModelForTokenClassification.from_pretrained("onionLad/identifier-bert-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from onionLad/identifier-bert-large: direct link, hf CLI and curl.
- Browser
- Download file 4.66 kB
-
https://huggingface.co/onionLad/identifier-bert-large/resolve/main/training_args.bin
- Command line
-
hf download hf://onionLad/identifier-bert-large/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/onionLad/identifier-bert-large/resolve/main/training_args.bin
4.66 kB
- Xet hash:
- 5cb611a2e3ad8d8286ba4f9dfcf242ddcafc99379fd14ef1d5698514641631ee
- Size of remote file:
- 4.66 kB
- SHA256:
- f094db48c004cf891a249f19fb6808967941293221b15f966c3f1f0e557609cc
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