Instructions to use OpenBA/OpenBA-InstructGen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenBA/OpenBA-InstructGen with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="OpenBA/OpenBA-InstructGen", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OpenBA/OpenBA-InstructGen", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model-00002-of-00003.bin from OpenBA/OpenBA-InstructGen: direct link, hf CLI and curl.
- Browser
- Download file 9.96 GB
-
https://huggingface.co/OpenBA/OpenBA-InstructGen/resolve/main/pytorch_model-00002-of-00003.bin
- Command line
-
hf download hf://OpenBA/OpenBA-InstructGen/pytorch_model-00002-of-00003.bin
-
curl -L -o pytorch_model-00002-of-00003.bin https://huggingface.co/OpenBA/OpenBA-InstructGen/resolve/main/pytorch_model-00002-of-00003.bin
9.96 GB
- Xet hash:
- 90dba164de8eb2c0c3ab6efcd0b39b9b51176a510d120f0ffeff1233dcd26636
- Size of remote file:
- 9.96 GB
- SHA256:
- 71b61f2929c55b1216184ce319679d851cac5127cb730e29fecb70009dfa0e2f
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