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 flax_model.msgpack from Itcast/bert-base-cnc: direct link, hf CLI and curl.
- Browser
- Download file 409 MB
-
https://huggingface.co/Itcast/bert-base-cnc/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://Itcast/bert-base-cnc/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/Itcast/bert-base-cnc/resolve/main/flax_model.msgpack
409 MB
- Xet hash:
- ea2d2b8db7cd624741c1d24f1d1eaf217fab344ed6744d70e9003ea0411d72bf
- Size of remote file:
- 409 MB
- SHA256:
- c1599829ec21a1bb9cfdd79c3696c0dce771c8b14e22d06dcb4942ef7904d765
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