Instructions to use ZZZZCCCC/codebert_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZZZZCCCC/codebert_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ZZZZCCCC/codebert_1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ZZZZCCCC/codebert_1") model = AutoModelForMaskedLM.from_pretrained("ZZZZCCCC/codebert_1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from ZZZZCCCC/codebert_1: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/ZZZZCCCC/codebert_1/resolve/main/model.safetensors
- Command line
-
hf download hf://ZZZZCCCC/codebert_1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/ZZZZCCCC/codebert_1/resolve/main/model.safetensors
499 MB
- Xet hash:
- 4bd074cbf7f692b2f141418961a90dc88842a8a0dadd7e454fef4ac99487580a
- Size of remote file:
- 499 MB
- SHA256:
- c41edb1dfd690d9f5f6bfb87215f185892626c4f55448f603ab87bb79c660db9
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