Instructions to use jacobmorrison/tk-instruct-squad-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jacobmorrison/tk-instruct-squad-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jacobmorrison/tk-instruct-squad-base") model = AutoModelForSeq2SeqLM.from_pretrained("jacobmorrison/tk-instruct-squad-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0042a9aca72cf8ed9742256fc538891dc4707e0f12f5953120f7eff4f7499e77
- Size of remote file:
- 495 MB
- SHA256:
- 8a5ffe043a115524e24a9d057ee07081de8db8726687195d8692b58f31d69ab9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.