Instructions to use documatic/codebert-python-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use documatic/codebert-python-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="documatic/codebert-python-finetuned")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("documatic/codebert-python-finetuned") model = AutoModel.from_pretrained("documatic/codebert-python-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from documatic/codebert-python-finetuned: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/documatic/codebert-python-finetuned/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://documatic/codebert-python-finetuned@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/documatic/codebert-python-finetuned/resolve/refs%2Fpr%2F1/model.safetensors
499 MB
- Xet hash:
- e3fc16c9cd8e38ecc8e27f9bc738134c0c70d2d318e834ac45197d580c55794e
- Size of remote file:
- 499 MB
- SHA256:
- 1d9ac661eb4a9a3c39ffab8cd29503dce04493110adde4f5fb03fbe72e9b683b
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