Instructions to use sujalgawas/code-bert-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sujalgawas/code-bert-python with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sujalgawas/code-bert-python")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sujalgawas/code-bert-python") model = AutoModel.from_pretrained("sujalgawas/code-bert-python", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload model_weights.pt with huggingface_hub
Browse files- model_weights.pt +3 -0
model_weights.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:5908bf6434ef1637a2af392916c8b68dd021c4c679bba8aebd50896744aa5998
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size 500155183
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