Instructions to use pogtador/codebert-pretrained-stackoverflow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pogtador/codebert-pretrained-stackoverflow with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="pogtador/codebert-pretrained-stackoverflow")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("pogtador/codebert-pretrained-stackoverflow") model = AutoModelForMaskedLM.from_pretrained("pogtador/codebert-pretrained-stackoverflow", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from pogtador/codebert-pretrained-stackoverflow: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/pogtador/codebert-pretrained-stackoverflow/resolve/main/model.safetensors
- Command line
-
hf download hf://pogtador/codebert-pretrained-stackoverflow/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/pogtador/codebert-pretrained-stackoverflow/resolve/main/model.safetensors
499 MB
- Xet hash:
- 7fb918e350dea171947214bc038263237170b6f80fc4ca22d93b432c13ec2128
- Size of remote file:
- 499 MB
- SHA256:
- 84797bbe606819cc7d11aab9c0bf0f3c86806272bd0c5c498cb018ffe36328a3
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