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 model.safetensors from mrm8488/CodeBERTaPy: direct link, hf CLI and curl.
- Browser
- Download file 336 MB
-
https://huggingface.co/mrm8488/CodeBERTaPy/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://mrm8488/CodeBERTaPy@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/mrm8488/CodeBERTaPy/resolve/refs%2Fpr%2F1/model.safetensors
336 MB
- Xet hash:
- ef7ad6b4555776f075fbb9f2d1081d722c532c53fc84a6293700b1ae0877a275
- Size of remote file:
- 336 MB
- SHA256:
- b0cdfa1cb38e8b9ff7867d536ec2ded4d924c0b791e901579a6e5d66dc85f21e
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