Instructions to use mrm8488/codeBERTaJS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/codeBERTaJS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mrm8488/codeBERTaJS")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mrm8488/codeBERTaJS") model = AutoModelForMaskedLM.from_pretrained("mrm8488/codeBERTaJS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from mrm8488/codeBERTaJS: direct link, hf CLI and curl.
- Browser
- Download file 16 Bytes
-
https://huggingface.co/mrm8488/codeBERTaJS/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://mrm8488/codeBERTaJS/tokenizer_config.json
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curl -L -o tokenizer_config.json https://huggingface.co/mrm8488/codeBERTaJS/resolve/main/tokenizer_config.json
16 Bytes
| {"max_len": 512} |