Instructions to use OATML-Markslab/Tranception_Large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OATML-Markslab/Tranception_Large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="OATML-Markslab/Tranception_Large")# Load model directly from transformers import AutoModelWithLMHead model = AutoModelWithLMHead.from_pretrained("OATML-Markslab/Tranception_Large", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#3 opened over 2 years ago
by
SFconvertbot
Key error when loading the model using AutoTokenizer.from_pretrained
#2 opened over 2 years ago
by
arjan-hada
Key error when loading the model using AutoModelForCausalLM or AutoModelWithLMHead
1
#1 opened about 3 years ago
by
Florisvdf