Instructions to use ZZZZCCCC/codebert_5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZZZZCCCC/codebert_5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ZZZZCCCC/codebert_5")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ZZZZCCCC/codebert_5") model = AutoModelForMaskedLM.from_pretrained("ZZZZCCCC/codebert_5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ZZZZCCCC/codebert_5: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/ZZZZCCCC/codebert_5/resolve/main/training_args.bin
- Command line
-
hf download hf://ZZZZCCCC/codebert_5/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ZZZZCCCC/codebert_5/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 3d090f6b2056174cc7b41b46a770fe38ff70e4adc6e2bd978cf9ade67c897ce7
- Size of remote file:
- 4.92 kB
- SHA256:
- 73a485137ec3f57a9dda604c51955d017b260ff357b32ad227c3dd7c17e0ef85
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