Instructions to use Maxscha/bert-test-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Maxscha/bert-test-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Maxscha/bert-test-base", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Maxscha/bert-test-base", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("Maxscha/bert-test-base", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Maxscha/bert-test-base: direct link, hf CLI and curl.
- Browser
- Download file 1.84 MB
-
https://huggingface.co/Maxscha/bert-test-base/resolve/main/tokenizer.json
- Command line
-
hf download hf://Maxscha/bert-test-base/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Maxscha/bert-test-base/resolve/main/tokenizer.json
1.84 MB
File too large to display, you can check the raw version instead.