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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
e7db871 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:91f7209e1883b5ef2c774bd97ca7a64dfde03f685b26c7d2ebe02a5d4905d85a
size 632831195
|