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 pytorch_model.bin 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/pytorch_model.bin
- Command line
-
hf download hf://Itcast/bert-base-cnc/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Itcast/bert-base-cnc/resolve/main/pytorch_model.bin
409 MB
- Xet hash:
- 00e4cabcb50ef796620f7f062e6861027d522eb5746e35b5296824bbf92341ca
- Size of remote file:
- 409 MB
- SHA256:
- a9d6ff9027a8e5b2d812262080a056199e45b5763d0683987653bd1bc3052c3d
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