Instructions to use junzai/bert_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use junzai/bert_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="junzai/bert_test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("junzai/bert_test") model = AutoModelForMaskedLM.from_pretrained("junzai/bert_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download eval_results.txt from junzai/bert_test: direct link, hf CLI and curl.
- Browser
- Download file 81 Bytes
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https://huggingface.co/junzai/bert_test/resolve/main/eval_results.txt
- Command line
-
hf download hf://junzai/bert_test/eval_results.txt
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curl -L -o eval_results.txt https://huggingface.co/junzai/bert_test/resolve/main/eval_results.txt
81 Bytes
| acc = 0.7671568627450981 | |
| acc_and_f1 = 0.8073344506341863 | |
| f1 = 0.8475120385232745 | |