Instructions to use yikuan8/Clinical-Longformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yikuan8/Clinical-Longformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="yikuan8/Clinical-Longformer")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("yikuan8/Clinical-Longformer") model = AutoModelForMaskedLM.from_pretrained("yikuan8/Clinical-Longformer") - Inference
- Notebooks
- Google Colab
- Kaggle
[AUTOMATED] Model Memory Requirements
#2 opened over 2 years ago
by
model-sizer-bot
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot