Instructions to use buelfhood/GraphCodeBERT_BCB_SOCO_ChaFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use buelfhood/GraphCodeBERT_BCB_SOCO_ChaFT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="buelfhood/GraphCodeBERT_BCB_SOCO_ChaFT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("buelfhood/GraphCodeBERT_BCB_SOCO_ChaFT") model = AutoModelForSequenceClassification.from_pretrained("buelfhood/GraphCodeBERT_BCB_SOCO_ChaFT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from buelfhood/GraphCodeBERT_BCB_SOCO_ChaFT: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/buelfhood/GraphCodeBERT_BCB_SOCO_ChaFT/resolve/main/model.safetensors
- Command line
-
hf download hf://buelfhood/GraphCodeBERT_BCB_SOCO_ChaFT/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/buelfhood/GraphCodeBERT_BCB_SOCO_ChaFT/resolve/main/model.safetensors
499 MB
- Xet hash:
- a8a6340a8eb8fae560b60bebd5495050672d77a2ffa0f785f950d861c6e13162
- Size of remote file:
- 499 MB
- SHA256:
- ce1367818ea591bc0660bb3b0af56807e5b52352ea88ca761f75efd2adc15ef7
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