Instructions to use jacobmorrison/tk-instruct-squad-large-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jacobmorrison/tk-instruct-squad-large-3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jacobmorrison/tk-instruct-squad-large-3") model = AutoModelForSeq2SeqLM.from_pretrained("jacobmorrison/tk-instruct-squad-large-3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2f3b1709af65958ff6d56a2f85dc61bf9a5d868bf433333da85ddadcc8d95dfe
- Size of remote file:
- 4.34 kB
- SHA256:
- a48921f62b99f274ed6213266e30f2b15668ccc417e15e68505d77fdeca81ab7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.