Instructions to use jeniya/BERTOverflow_stackoverflow_github with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jeniya/BERTOverflow_stackoverflow_github with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="jeniya/BERTOverflow_stackoverflow_github")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("jeniya/BERTOverflow_stackoverflow_github") model = AutoModel.from_pretrained("jeniya/BERTOverflow_stackoverflow_github", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from jeniya/BERTOverflow_stackoverflow_github: direct link, hf CLI and curl.
- Browser
- Download file 596 MB
-
https://huggingface.co/jeniya/BERTOverflow_stackoverflow_github/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://jeniya/BERTOverflow_stackoverflow_github@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/jeniya/BERTOverflow_stackoverflow_github/resolve/refs%2Fpr%2F1/model.safetensors
596 MB
- Xet hash:
- aab0575dbce52914260c7b10d0fbf799fb0ec875360d345cbc765824bf5cecb5
- Size of remote file:
- 596 MB
- SHA256:
- 63c23a0c02dbfb1ee526d6e4c30a9beed1c1a5d1f08feba96f230797ef65fd17
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.