Instructions to use jacobmorrison/tk-instruct-xl-lora-experiments with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jacobmorrison/tk-instruct-xl-lora-experiments with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jacobmorrison/tk-instruct-xl-lora-experiments") model = AutoModelForSeq2SeqLM.from_pretrained("jacobmorrison/tk-instruct-xl-lora-experiments") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a7d7be55a959b6328e5c3d8b44bb02d9201332015038f3b8b2ec4127ed9e6c5
- Size of remote file:
- 4.34 kB
- SHA256:
- 1961173ecb4c5b9205cff967db01f873ab53442ca0a729e38b692becb8921873
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.