Instructions to use peft-internal-testing/tiny_OPTForSequenceClassification-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use peft-internal-testing/tiny_OPTForSequenceClassification-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("peft-internal-testing/tiny-random-OPTForCausalLM") model = PeftModel.from_pretrained(base_model, "peft-internal-testing/tiny_OPTForSequenceClassification-lora") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from peft-internal-testing/tiny_OPTForSequenceClassification-lora: direct link, hf CLI and curl.
- Browser
- Download file 17.6 kB
-
https://huggingface.co/peft-internal-testing/tiny_OPTForSequenceClassification-lora/resolve/main/adapter_model.bin
- Command line
-
hf download hf://peft-internal-testing/tiny_OPTForSequenceClassification-lora/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/peft-internal-testing/tiny_OPTForSequenceClassification-lora/resolve/main/adapter_model.bin
17.6 kB
- Xet hash:
- 5725f174d496474f6e9c07f60a2a3a74368c8aba51af517c36752daf02d9c37f
- Size of remote file:
- 17.6 kB
- SHA256:
- 5d132e081b3d6eb1a645e90c6917daf6b8b2a9dbc3d62b88fcfece32ce2119a2
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