Instructions to use harpreetmann/stack_exc_multilabel_base_class_head with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use harpreetmann/stack_exc_multilabel_base_class_head with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("google/gemma-2-2b") model = PeftModel.from_pretrained(base_model, "harpreetmann/stack_exc_multilabel_base_class_head") - Transformers
How to use harpreetmann/stack_exc_multilabel_base_class_head with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("harpreetmann/stack_exc_multilabel_base_class_head", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download rng_state.pth from harpreetmann/stack_exc_multilabel_base_class_head: direct link, hf CLI and curl.
- Browser
- Download file 14.6 kB
-
https://huggingface.co/harpreetmann/stack_exc_multilabel_base_class_head/resolve/main/rng_state.pth
- Command line
-
hf download hf://harpreetmann/stack_exc_multilabel_base_class_head/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/harpreetmann/stack_exc_multilabel_base_class_head/resolve/main/rng_state.pth
14.6 kB
- Xet hash:
- 7cce33a8a98b73010a47e2d98f4f44dafa0f7c4e85fda2d540f2618590f112c4
- Size of remote file:
- 14.6 kB
- SHA256:
- 02f5d04f4c5c61f35592bfdb6e22e04701789e54354a899682922558a3ccece3
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