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 model_predict_test.csv from aiface/CafeBERT_massive_crf_v2: direct link, hf CLI and curl.
- Browser
- Download file 633 kB
-
https://huggingface.co/aiface/CafeBERT_massive_crf_v2/resolve/main/model_predict_test.csv
- Command line
-
hf download hf://aiface/CafeBERT_massive_crf_v2/model_predict_test.csv
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curl -L -o model_predict_test.csv https://huggingface.co/aiface/CafeBERT_massive_crf_v2/resolve/main/model_predict_test.csv
633 kB
File too large to display, you can check the raw version instead.