Instructions to use sumittyagi25/test_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sumittyagi25/test_trainer with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("bert-base-cased") model = PeftModel.from_pretrained(base_model, "sumittyagi25/test_trainer") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from sumittyagi25/test_trainer: direct link, hf CLI and curl.
- Browser
- Download file 160 kB
-
https://huggingface.co/sumittyagi25/test_trainer/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://sumittyagi25/test_trainer/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/sumittyagi25/test_trainer/resolve/main/adapter_model.safetensors
160 kB
- Xet hash:
- ef88b2a9048f2432aa42e2ec45ad2f63ee6550112811fca67b25dbc10a036853
- Size of remote file:
- 160 kB
- SHA256:
- 1aaa6385da586682485138d37200fa18cacb4f2b36f5e06e0130bf9c624216fb
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