Instructions to use duygutumer/code_classification_bert_final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use duygutumer/code_classification_bert_final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="duygutumer/code_classification_bert_final")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("duygutumer/code_classification_bert_final") model = AutoModelForSequenceClassification.from_pretrained("duygutumer/code_classification_bert_final", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from duygutumer/code_classification_bert_final: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/duygutumer/code_classification_bert_final/resolve/main/model.safetensors
- Command line
-
hf download hf://duygutumer/code_classification_bert_final/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/duygutumer/code_classification_bert_final/resolve/main/model.safetensors
438 MB
- Xet hash:
- c994eefafe63b74c2226fff0029093742bec01d5a1ff74d14396196698f1739f
- Size of remote file:
- 438 MB
- SHA256:
- 24baa1e7a21e5b6f62c18aec8762e577ef6c628376bc5387880d516238914f8f
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