Instructions to use mrm8488/CodeBERTaPy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/CodeBERTaPy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mrm8488/CodeBERTaPy")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mrm8488/CodeBERTaPy") model = AutoModelForMaskedLM.from_pretrained("mrm8488/CodeBERTaPy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from mrm8488/CodeBERTaPy: direct link, hf CLI and curl.
- Browser
- Download file 921 kB
-
https://huggingface.co/mrm8488/CodeBERTaPy/resolve/refs%2Fpr%2F1/vocab.json
- Command line
-
hf download hf://mrm8488/CodeBERTaPy@refs/pr/1/vocab.json
-
curl -L -o vocab.json https://huggingface.co/mrm8488/CodeBERTaPy/resolve/refs%2Fpr%2F1/vocab.json
921 kB
File too large to display, you can check the raw version instead.