Instructions to use isaaclee/llama_train_seq_cls_run1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use isaaclee/llama_train_seq_cls_run1 with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "isaaclee/llama_train_seq_cls_run1") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from isaaclee/llama_train_seq_cls_run1: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/isaaclee/llama_train_seq_cls_run1/resolve/main/training_args.bin
- Command line
-
hf download hf://isaaclee/llama_train_seq_cls_run1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/isaaclee/llama_train_seq_cls_run1/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- 98f4cbc8bae987a825f62545d0a6c8b0fec6e45915e6da332357d798b8fc23fd
- Size of remote file:
- 4.73 kB
- SHA256:
- 7bd57c3d8992daa5a17efd4fa4fe102efa3140fc6c55d65e1828f28e1f25feca
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