Instructions to use aiface/CafeBERT_massive_crf_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aiface/CafeBERT_massive_crf_v2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("aiface/CafeBERT_massive_crf_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from aiface/CafeBERT_massive_crf_v2: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/aiface/CafeBERT_massive_crf_v2/resolve/main/tokenizer.json
- Command line
-
hf download hf://aiface/CafeBERT_massive_crf_v2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/aiface/CafeBERT_massive_crf_v2/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- 9aac1a0b1a9db01a5aa022821c85211b91e7fd37391bdc9b80d744239dad9138
- Size of remote file:
- 17.1 MB
- SHA256:
- 28cb04ace30be354dd60d5b198618f8aa4cefd5acb0e40da20c3fc7e53d8a8dd
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