Instructions to use lanwuwei/BERTOverflow_stackoverflow_github with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lanwuwei/BERTOverflow_stackoverflow_github with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="lanwuwei/BERTOverflow_stackoverflow_github")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("lanwuwei/BERTOverflow_stackoverflow_github") model = AutoModel.from_pretrained("lanwuwei/BERTOverflow_stackoverflow_github", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from lanwuwei/BERTOverflow_stackoverflow_github: direct link, hf CLI and curl.
- Browser
- Download file 596 MB
-
https://huggingface.co/lanwuwei/BERTOverflow_stackoverflow_github/resolve/main/model.safetensors
- Command line
-
hf download hf://lanwuwei/BERTOverflow_stackoverflow_github/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/lanwuwei/BERTOverflow_stackoverflow_github/resolve/main/model.safetensors
596 MB
- Xet hash:
- 6c673550eab6c1d2d6e934d70b9b8d7a0a297ef40c0b6d089cbb98756d64633f
- Size of remote file:
- 596 MB
- SHA256:
- 052fe7dcf643d2ccfb86696e58b7ca7eb2f07ebb28dd0b6b352c24d955002077
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