Instructions to use ZZZZCCCC/codebert_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZZZZCCCC/codebert_4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ZZZZCCCC/codebert_4")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ZZZZCCCC/codebert_4") model = AutoModelForMaskedLM.from_pretrained("ZZZZCCCC/codebert_4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from ZZZZCCCC/codebert_4: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/ZZZZCCCC/codebert_4/resolve/main/model.safetensors
- Command line
-
hf download hf://ZZZZCCCC/codebert_4/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/ZZZZCCCC/codebert_4/resolve/main/model.safetensors
499 MB
- Xet hash:
- fc13582992c92c0a40682f6fe36d3f5acb12be716de9d748ab36857c91c5db2f
- Size of remote file:
- 499 MB
- SHA256:
- a5a4faa4f1817fe08ea660159a06457a9394e615aa4ecee3fd4d98e276528b63
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