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 pytorch_model.bin 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/pytorch_model.bin
- Command line
-
hf download hf://lanwuwei/BERTOverflow_stackoverflow_github/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/lanwuwei/BERTOverflow_stackoverflow_github/resolve/main/pytorch_model.bin
596 MB
- Xet hash:
- b5e833d34a681d59eb8cd962dfea3db89624e65a522aa144bd584fe6c4c1c266
- Size of remote file:
- 596 MB
- SHA256:
- d3c99bdb8892bd521b69d0bc6903e786ca82eed93860c194f74ec6530526990c
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