Instructions to use junzai/222 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use junzai/222 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="junzai/222")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("junzai/222") model = AutoModelForMaskedLM.from_pretrained("junzai/222", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from junzai/222: direct link, hf CLI and curl.
- Browser
- Download file 59 Bytes
-
https://huggingface.co/junzai/222/resolve/refs%2Fpr%2F1/tokenizer_config.json
- Command line
-
hf download hf://junzai/222@refs/pr/1/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/junzai/222/resolve/refs%2Fpr%2F1/tokenizer_config.json
59 Bytes
| {"do_lower_case": false, "max_len": 512, "init_inputs": []} |