Instructions to use whaleloops/KEPTlongformer-PMM3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use whaleloops/KEPTlongformer-PMM3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="whaleloops/KEPTlongformer-PMM3")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("whaleloops/KEPTlongformer-PMM3") model = AutoModelForMaskedLM.from_pretrained("whaleloops/KEPTlongformer-PMM3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot