Instructions to use jacobmorrison/tk-instruct-base-lora-experiments with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jacobmorrison/tk-instruct-base-lora-experiments with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jacobmorrison/tk-instruct-base-lora-experiments") model = AutoModelForSeq2SeqLM.from_pretrained("jacobmorrison/tk-instruct-base-lora-experiments", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from jacobmorrison/tk-instruct-base-lora-experiments: direct link, hf CLI and curl.
- Browser
- Download file 4.34 kB
-
https://huggingface.co/jacobmorrison/tk-instruct-base-lora-experiments/resolve/00fded6c554266207b0905650e00a00a6a8635ca/training_args.bin
- Command line
-
hf download hf://jacobmorrison/tk-instruct-base-lora-experiments@00fded6c554266207b0905650e00a00a6a8635ca/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jacobmorrison/tk-instruct-base-lora-experiments/resolve/00fded6c554266207b0905650e00a00a6a8635ca/training_args.bin
4.34 kB
- Xet hash:
- d341e1a86fbabc4f69766f5a638b673de44078477a200aa15d4e1bfe0995fbf6
- Size of remote file:
- 4.34 kB
- SHA256:
- 2a6e2a97e503c0a21c7577920df914f1691ddd68637c43eca72d38123e2d059c
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