Instructions to use reyvan/bert_best with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use reyvan/bert_best with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="reyvan/bert_best")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("reyvan/bert_best") model = AutoModelForMaskedLM.from_pretrained("reyvan/bert_best", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from reyvan/bert_best: direct link, hf CLI and curl.
- Browser
- Download file 29 Bytes
-
https://huggingface.co/reyvan/bert_best/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://reyvan/bert_best/tokenizer_config.json
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curl -L -o tokenizer_config.json https://huggingface.co/reyvan/bert_best/resolve/main/tokenizer_config.json
29 Bytes
| { | |
| "do_lower_case": false | |
| } | |