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:
- 849823914821f45becab663a987edfe35138157991573f86c496f4ff5e583ff0
- Size of remote file:
- 4.34 kB
- SHA256:
- a5f7042d351028e874a1cb7cff149237579d92e10729c307bd23d9f4017a9978
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.