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 tokenizer.json from harpreetmann/stack_exc_multilabel_base_class_head: direct link, hf CLI and curl.
- Browser
- Download file 34.4 MB
-
https://huggingface.co/harpreetmann/stack_exc_multilabel_base_class_head/resolve/main/tokenizer.json
- Command line
-
hf download hf://harpreetmann/stack_exc_multilabel_base_class_head/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/harpreetmann/stack_exc_multilabel_base_class_head/resolve/main/tokenizer.json
34.4 MB
- Xet hash:
- 55c21a409ac013c409164ec1243cc19ec4c40e9dd1f971c7065aa438bd41a84f
- Size of remote file:
- 34.4 MB
- SHA256:
- abd905f70a0604065e2115e2e99a985ae7f6c42a528cb9e0ac42c1178c6fc151
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