Instructions to use Itcast/bert-base-cnc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Itcast/bert-base-cnc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Itcast/bert-base-cnc")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Itcast/bert-base-cnc") model = AutoModelForMaskedLM.from_pretrained("Itcast/bert-base-cnc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Itcast/bert-base-cnc: direct link, hf CLI and curl.
- Browser
- Download file 1.24 kB
-
https://huggingface.co/Itcast/bert-base-cnc/resolve/main/training_args.bin
- Command line
-
hf download hf://Itcast/bert-base-cnc/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Itcast/bert-base-cnc/resolve/main/training_args.bin
1.24 kB
- Xet hash:
- 564dbb79ba88a3503459ec4d5107623af915a06b79cced0f2f04f7bdb29f1f19
- Size of remote file:
- 1.24 kB
- SHA256:
- 732427c0bd34e45c61d66edc9d049098c8115b4d9d45755fea9fe3e52e99efc0
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