Instructions to use whaleloops/keptlongformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use whaleloops/keptlongformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="whaleloops/keptlongformer")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("whaleloops/keptlongformer") model = AutoModelForMaskedLM.from_pretrained("whaleloops/keptlongformer") - Notebooks
- Google Colab
- Kaggle
zhichao yang commited on
Commit ·
36a8620
1
Parent(s): a2a8514
Upload tokenizer.json
Browse files- tokenizer.json +0 -0
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|