Instructions to use closji/vokenization-bert-small-v1-epoch0039 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use closji/vokenization-bert-small-v1-epoch0039 with Transformers:
# Load model directly from transformers import AutoTokenizer, CoLwithBert tokenizer = AutoTokenizer.from_pretrained("closji/vokenization-bert-small-v1-epoch0039") model = CoLwithBert.from_pretrained("closji/vokenization-bert-small-v1-epoch0039", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from closji/vokenization-bert-small-v1-epoch0039: direct link, hf CLI and curl.
- Browser
- Download file 244 MB
-
https://huggingface.co/closji/vokenization-bert-small-v1-epoch0039/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://closji/vokenization-bert-small-v1-epoch0039/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/closji/vokenization-bert-small-v1-epoch0039/resolve/main/pytorch_model.bin
244 MB
- Xet hash:
- 2e5bca483912a7240bef4a0ca809d7c582791d2f08f47ffc5a258ba568c85272
- Size of remote file:
- 244 MB
- SHA256:
- 06a78cb17ee7b5f52ee05e5fce7c55f0e46b1c73fc4ee08b273b65b486271e65
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